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[GigaCourse.Com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass
23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4
218.8 MB
05 Pandas/028 Pandas Project Exercise Solutions.mp4
181.0 MB
13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4
152.6 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4
143.9 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4
136.7 MB
05 Pandas/026 Pandas Pivot Tables.mp4
135.0 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4
134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4
126.5 MB
11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4
123.3 MB
16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4
121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4
120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4
116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4
114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4
113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4
113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4
111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4
111.0 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4
110.8 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4
110.4 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4
110.2 MB
[磁力链接]
添加时间:
2022-01-28
大小:
11.3 GB
最近下载:
2025-05-17
热度:
1562
[GigaCourse.com] Udemy - The Data Science Course 2020 Complete Data Science Bootcamp
16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4
168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4
165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4
152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4
151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4
145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4
140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4
133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4
131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4
121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4
117.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4
114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4
109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4
108.5 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4
108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4
107.6 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4
104.1 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4
103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4
101.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4
96.5 MB
5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4
94.3 MB
[磁力链接]
添加时间:
2021-03-09
大小:
16.9 GB
最近下载:
2025-05-17
热度:
1553
[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp
4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4
305.5 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4
301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4
264.1 MB
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4
256.0 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4
248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4
246.8 MB
3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4
243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4
234.1 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4
229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4
228.9 MB
5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4
224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4
224.1 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4
215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4
204.6 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4
202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4
200.8 MB
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4
197.2 MB
12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4
196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4
181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4
180.3 MB
[磁力链接]
添加时间:
2021-03-14
大小:
18.4 GB
最近下载:
2025-05-10
热度:
1551
[GigaCourse.com] Udemy - Statistics for Data Science and Business Analysis
5. Practical example descriptive statistics/1. Practical example.mp4
168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4
135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4
107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4
96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4
86.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4
82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4
76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4
73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4
72.8 MB
1. Introduction/1. What does the course cover.mp4
72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4
66.0 MB
6. Distributions/2. What is a distribution.mp4
64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4
60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4
59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4
58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4
57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4
56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4
53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4
53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4
52.9 MB
[磁力链接]
添加时间:
2021-03-22
大小:
3.0 GB
最近下载:
2025-05-10
热度:
1551
[GigaCourse.Com] Udemy - Data Science Masterclass 2021 Build 30 Real World Projects
16. Project-15 Cats Vs Dogs Image Classification App/2. Creating Project Notebook.mp4
256.2 MB
18. Project-17 Gender From Voice Prediction/2. Creating Project Notebook.mp4
254.7 MB
19. Project-18 Restaurant Recommendation System/4. Data Analysis 2.mp4
254.6 MB
20. Project-19 Check Happiness Ranking Using Machine Learning/2. Project Notebook.mp4
252.2 MB
13. Project-12 Attrition Rate Django App/2. Creating Colab Notebook.mp4
224.2 MB
21. Project-20 Predicting Forest Fire - Machine Learning/2. Project Notebook.mp4
217.2 MB
17. Project-16 Customer Revenue Prediction/2. Colab Notebook.mp4
211.5 MB
21. Project-20 Predicting Forest Fire - Machine Learning/6.1 Forest Fires App -Code.zip
196.6 MB
16. Project-15 Cats Vs Dogs Image Classification App/6.1 Cats Vs Dogs App Code.zip
189.4 MB
14. Project-13 Project To Find Legendary Pokemon/2. Creating Colab Notebook.mp4
185.8 MB
30. Project-29 Customer Churning Prediction/3. data visualization.mp4
168.3 MB
30. Project-29 Customer Churning Prediction/4. Model building.mp4
154.4 MB
12. Project-11 Sentiment Analysis Using Logistic Regression/2. Project Notebook Google Colab.mp4
147.7 MB
20. Project-19 Check Happiness Ranking Using Machine Learning/3. Creating Django App.mp4
145.1 MB
29. Project-28 Covid-19 Case Analysis/4. Data Analysis part2.mp4
141.5 MB
9. Project-8 Create A Face Swapping Application/3. Data preprocessing and creating output.mp4
133.7 MB
28. Project-27 Air Quality Prediction/6. Model building part1.mp4
129.4 MB
29. Project-28 Covid-19 Case Analysis/2. data preprocessing.mp4
124.9 MB
17. Project-16 Customer Revenue Prediction/3. Creating Flask App.mp4
123.7 MB
21. Project-20 Predicting Forest Fire - Machine Learning/4. Creating Django App.mp4
122.8 MB
[磁力链接]
添加时间:
2022-01-14
大小:
11.7 GB
最近下载:
2025-05-17
热度:
1550
[ FreeCourseWeb.com ] Udemy - Spatial Analysis & Geospatial Data Science in Python.zip
[ FreeCourseWeb.com ] Udemy - Spatial Analysis & Geospatial Data Science in Python.zip
818.4 MB
[磁力链接]
添加时间:
2021-03-19
大小:
818.4 MB
最近下载:
2025-05-16
热度:
1539
[FreeCourseLab.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass
23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4
218.8 MB
05 Pandas/028 Pandas Project Exercise Solutions.mp4
181.0 MB
13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4
152.6 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4
143.9 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4
136.7 MB
05 Pandas/026 Pandas Pivot Tables.mp4
135.0 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4
134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4
126.5 MB
11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4
123.3 MB
16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4
121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4
120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4
116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4
114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4
113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4
113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4
111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4
111.0 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4
110.8 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4
110.4 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4
110.2 MB
[磁力链接]
添加时间:
2022-02-07
大小:
11.3 GB
最近下载:
2025-05-16
热度:
1532
[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022
09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4
245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4
235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4
200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4
193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4
184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4
179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4
176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4
171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4
165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4
161.2 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4
154.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4
151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4
150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4
147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4
147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4
146.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4
142.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4
142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4
138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4
137.7 MB
[磁力链接]
添加时间:
2022-01-11
大小:
17.5 GB
最近下载:
2025-05-17
热度:
1528
[ DevCourseWeb.com ] Udemy - Python and Google Trends - Best for Data Science and Marketing
~Get Your Files Here !/3. Marketing Insights with Python and Google Trends/2. An Advanced Example Cryptocurrency Trends Analysis.mp4
41.1 MB
~Get Your Files Here !/2. Access to Google Trends data using Python/2. A Practical Guide to PyTrends and Matplotlib Part 1.mp4
29.4 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
24.8 MB
~Get Your Files Here !/3. Marketing Insights with Python and Google Trends/1. A Marketing Example.mp4
24.3 MB
~Get Your Files Here !/2. Access to Google Trends data using Python/3. A Practical Guide to PyTrends and Matplotlib Part2.mp4
23.0 MB
~Get Your Files Here !/1. Introduction/2. Installing Requirements.mp4
11.1 MB
~Get Your Files Here !/2. Access to Google Trends data using Python/1. Connecting to Google.mp4
8.7 MB
~Get Your Files Here !/3. Marketing Insights with Python and Google Trends/2. An Advanced Example Cryptocurrency Trends Analysis.srt
7.8 kB
~Get Your Files Here !/3. Marketing Insights with Python and Google Trends/1. A Marketing Example.srt
6.4 kB
~Get Your Files Here !/2. Access to Google Trends data using Python/2. A Practical Guide to PyTrends and Matplotlib Part 1.srt
5.5 kB
~Get Your Files Here !/1. Introduction/1. Introduction.srt
4.6 kB
~Get Your Files Here !/2. Access to Google Trends data using Python/3. A Practical Guide to PyTrends and Matplotlib Part2.srt
3.7 kB
~Get Your Files Here !/2. Access to Google Trends data using Python/1. Connecting to Google.srt
2.2 kB
~Get Your Files Here !/1. Introduction/2. Installing Requirements.srt
1.5 kB
~Get Your Files Here !/Bonus Resources.txt
386 Bytes
Get Bonus Downloads Here.url
182 Bytes
[磁力链接]
添加时间:
2023-12-18
大小:
162.4 MB
最近下载:
2025-05-13
热度:
1521
[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4
155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4
149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4
148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4
140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4
139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4
138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4
135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4
135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4
134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4
131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4
129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4
124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4
123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4
122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4
120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4
119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4
117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4
116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4
115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4
113.1 MB
[磁力链接]
添加时间:
2021-03-10
大小:
8.2 GB
最近下载:
2025-04-27
热度:
1517
GetFreeCourses.Co-Udemy-Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn
15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4
41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4
39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4
38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4
38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4
37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4
37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4
35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4
35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4
34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4
34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4
33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4
33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4
32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4
32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4
32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4
31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4
31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4
31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4
30.9 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4
30.3 MB
[磁力链接]
添加时间:
2022-01-10
大小:
2.1 GB
最近下载:
2025-05-17
热度:
1514
[ FreeCourseWeb.com ] Udemy - Machine Learning & Data Science Bootcamp with R & Python (07 - 2021)
~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/001 Demo - [without voice].mp4
449.1 MB
~Get Your Files Here !/07 Convolutional Neural Networks - CNN/001 How to Develop a CNN From Scratch for CIFAR-10 Photo Classification.mp4
415.1 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/002 Univariate Linear regression Part 2.mp4
298.5 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/003 Multivariate Linear Regression.mp4
222.1 MB
~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/005 K-Means clustering - Code walkthrough with Theory & Practical.mp4
157.3 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/004 Logistic regression.mp4
157.1 MB
~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/002 Demonstration with Step by step Guidance [With voice].mp4
141.8 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/001 Univariate Linear regression Part 1.mp4
141.1 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/005 Naive Bayes Classifier.mp4
130.6 MB
~Get Your Files Here !/06 Implementing a ANN with R programming _ R Studio/001 Implementing a ANN with R programming _ R Studio.mp4
126.8 MB
~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/001 Clustering _ Lecture Part 1.mp4
93.8 MB
~Get Your Files Here !/01 Introduction/007 Classification _ Definition.mp4
88.7 MB
~Get Your Files Here !/01 Introduction/003 What is Machine Learning.mp4
84.8 MB
~Get Your Files Here !/02 Setting up the Environment for Machine Learning - R language and R studio/001 Installing R and R studio.mp4
79.6 MB
~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/003 What is clustering in Machine Learning.mp4
73.0 MB
~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/001 Installing Python and Pycharm IDE.mp4
49.4 MB
~Get Your Files Here !/01 Introduction/005 Steps to Solve a Data Mining & Machine Learning Problem.mp4
48.4 MB
~Get Your Files Here !/01 Introduction/001 Why we need Data Mining & Machine Learning.mp4
45.3 MB
~Get Your Files Here !/01 Introduction/008 Clustering _ Definition.mp4
38.9 MB
~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/002 Setting up the Environment _ Anaconda.mp4
38.1 MB
[磁力链接]
添加时间:
2024-04-20
大小:
3.0 GB
最近下载:
2025-05-17
热度:
1514
[FreeCourseWorld.Com] Udemy - Python A-Z™ Python For Data Science With Real Exercises!
06 Advanced Visualization/059 BONUS Building Dashboards in Python.mp4
111.1 MB
06 Advanced Visualization/060 BONUS Styling Tips.mp4
95.1 MB
05 Data Frames/043 Filtering a Data Frame.mp4
92.4 MB
05 Data Frames/041 Subsetting dataframes in Pandas.mp4
75.7 MB
04 Matrices/028 Building Your First Matrix.mp4
74.6 MB
04 Matrices/029 Dictionaries in Python.mp4
73.5 MB
06 Advanced Visualization/061 BONUS Finishing Touches.mp4
69.0 MB
06 Advanced Visualization/053 Stacked histograms in Python.mp4
60.3 MB
05 Data Frames/047 Keyword Arguments in Python (advanced tutorial).mp4
59.6 MB
04 Matrices/034 Advanced Function Design.mp4
59.5 MB
07 Homework Solutions/072 THANK YOU bonus video.mp4
54.8 MB
06 Advanced Visualization/057 Creating a Facet Grid.mp4
54.3 MB
07 Homework Solutions/067 Homework Solution Section 4 Basketball Free Throws.mp4
54.0 MB
06 Advanced Visualization/055 Working with Subplots().mp4
52.3 MB
04 Matrices/033 Creating Your First Function.mp4
50.9 MB
05 Data Frames/045 Introduction to Seaborn.mp4
49.1 MB
05 Data Frames/044 Using .at() and .iat() (advanced tutorial).mp4
46.0 MB
02 Core Programming Principles/005 Updates on Udemy Reviews.mp4
45.5 MB
05 Data Frames/042 Basic operations with a Data Frame.mp4
44.5 MB
04 Matrices/035 Basketball Insights.mp4
43.5 MB
[磁力链接]
添加时间:
2021-03-11
大小:
2.5 GB
最近下载:
2025-05-17
热度:
1509
GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp
04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4
305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4
301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4
264.1 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4
256.0 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4
248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4
246.8 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4
243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4
234.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4
229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4
228.9 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4
224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4
224.1 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4
215.3 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4
204.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4
202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4
200.8 MB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4
197.2 MB
12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4
196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4
181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4
180.3 MB
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添加时间:
2022-02-15
大小:
18.4 GB
最近下载:
2025-05-17
热度:
1507
[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2023
9 - Scikitlearn Creating Machine Learning Models/114 - NEW Choosing The Right Model For Your Data.mp4
456.4 MB
5 - Data Science Environment Setup/40 - Windows Environment Setup 2.mp4
437.1 MB
9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4
430.1 MB
16 - Career Advice Extra Bits/268 - CWD Git Github.mp4
379.5 MB
9 - Scikitlearn Creating Machine Learning Models/104 - Typical scikitlearn Workflow.mp4
352.2 MB
9 - Scikitlearn Creating Machine Learning Models/105 - Optional Debugging Warnings In Jupyter.mp4
337.7 MB
16 - Career Advice Extra Bits/262 - What If I Dont Have Enough Experience.mp4
327.3 MB
14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Training Your Deep Neural Network.mp4
311.7 MB
12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Feature Engineering.mp4
305.0 MB
14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Make And Transform Predictions.mp4
292.6 MB
12 - Milestone Project 2 Supervised Learning Time Series Data/182 - Turning Data Into Numbers.mp4
278.7 MB
14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Turning Data Into Batches 2.mp4
278.7 MB
5 - Data Science Environment Setup/37 - Mac Environment Setup.mp4
274.1 MB
9 - Scikitlearn Creating Machine Learning Models/147 - Putting It All Together.mp4
273.8 MB
12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Preproccessing Our Data.mp4
271.4 MB
12 - Milestone Project 2 Supervised Learning Time Series Data/194 - Feature Importance.mp4
266.3 MB
14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Visualizing And Evaluate Model Predictions 2.mp4
266.0 MB
12 - Milestone Project 2 Supervised Learning Time Series Data/179 - Exploring Our Data.mp4
263.6 MB
11 - Milestone Project 1 Supervised Learning Classification/160 - Finding Patterns 3.mp4
260.8 MB
14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Making Predictions On Test Images.mp4
257.0 MB
[磁力链接]
添加时间:
2024-01-13
大小:
31.4 GB
最近下载:
2025-05-17
热度:
1506
[DesireCourse.Net] Udemy - Statistics for Data Science and Business Analysis
5. Practical example descriptive statistics/1. Practical example.mp4
168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4
135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4
107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4
96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4
86.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4
82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4
76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4
73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4
72.7 MB
1. Introduction/1. What does the course cover.mp4
72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4
66.0 MB
6. Distributions/2. What is a distribution.mp4
64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4
60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4
59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4
58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4
57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4
56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4
53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4
53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4
52.9 MB
[磁力链接]
添加时间:
2021-03-24
大小:
3.0 GB
最近下载:
2025-05-17
热度:
1503
[DesireCourse.Com] Udemy - Statistics for Data Science using Python
[DesireCourse.Com] Udemy - Statistics for Data Science using Python.zip
1.3 GB
[DesireCourse.Com].txt
828 Bytes
[DesireCourse.Com].url
51 Bytes
[磁力链接]
添加时间:
2018-11-13
大小:
1.3 GB
最近下载:
2025-04-25
热度:
1502
GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp
04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4
240.6 MB
12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4
220.7 MB
05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4
210.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4
202.6 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4
199.4 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4
195.9 MB
12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4
183.9 MB
05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4
183.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4
182.3 MB
11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4
182.3 MB
12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4
181.1 MB
12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4
167.0 MB
12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4
165.9 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4
159.9 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4
159.4 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4
156.7 MB
12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4
155.0 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4
152.8 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4
152.3 MB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4
144.8 MB
[磁力链接]
添加时间:
2023-12-20
大小:
13.5 GB
最近下载:
2025-05-17
热度:
1471
[DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R
18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4
57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4
50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4
50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4
49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4
49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4
49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4
48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4
48.2 MB
15. Data Visualization with R/2. Histograms.mp4
47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip
47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip
47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4
42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4
42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4
41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4
39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4
38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4
37.4 MB
12. R Programming Basics/8. Functions.mp4
36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4
36.6 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4
35.8 MB
[磁力链接]
添加时间:
2021-03-09
大小:
2.6 GB
最近下载:
2025-05-17
热度:
1462
[GigaCourse.com] Udemy - Probability for Statistics and Data Science
4. Distributions/29. Practical Example Distributions.mp4
165.1 MB
3. Bayesian Inference/22. Practical Example Bayesian Inference.mp4
152.0 MB
2. Combinatorics/20. Practical Example Combinatorics.mp4
140.9 MB
5. Tie-ins to Other Fields/1. Tie-ins to Finance.mp4
103.6 MB
4. Distributions/3. What are the two main types of distributions based on the type of data we have.mp4
96.1 MB
1. Introduction to Probability/2. What is the probability formula.mp4
90.0 MB
4. Distributions/15. What is a Continuous Distribution.mp4
88.2 MB
5. Tie-ins to Other Fields/2. Tie-ins to Statistics.mp4
80.9 MB
1. Introduction to Probability/4. How to compute expected values.mp4
79.4 MB
4. Distributions/1. What is a probability distribution.mp4
76.9 MB
4. Distributions/11. What is the Binomial Distribution.mp4
72.2 MB
5. Tie-ins to Other Fields/3. Tie-ins to Data Science.mp4
66.5 MB
1. Introduction to Probability/6. What is a probability frequency distribution.mp4
64.6 MB
1. Introduction to Probability/8. What is a complement.mp4
62.0 MB
2. Combinatorics/11. What are combinations and how are they similar to variations.mp4
60.1 MB
3. Bayesian Inference/7. What is the union of sets A and B.mp4
60.0 MB
4. Distributions/13. What is the Poisson Distribution.mp4
58.5 MB
1. Introduction to Probability/1. What does the course cover.mp4
55.2 MB
3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.mp4
52.4 MB
4. Distributions/27. What is the Logistic Distribution.mp4
52.4 MB
[磁力链接]
添加时间:
2021-03-09
大小:
2.7 GB
最近下载:
2025-05-17
热度:
1457
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