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2. Using Matplotlib.mp4

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Udemy - Python for Data Science - The Complete Data Science Bootcamp

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1 - Introduction to Data Science and Python

2 - Python Fundamentals for Data Science

3 - Working with Data Using Pandas

4 - Numerical Computing with NumPy

5 - Data Visualization

22. Plotting with Matplotlib.mp4

MP4

102.1 MB

1 matching file, 46 total files.

Seeders: 18
Leechers: 3
Size: 3 GB
Files: 46
Age: 3 months ago

3 GB

3 months ago

Udemy - Complete Machine Learning and Data Science With Python ML A-Z

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1 - Introduction

10 - Project Customer Segmentation using Clustering

11 - Project Fake News Detection using machine learning Python

12 - Project COVID19 Coronavirus Infection Probability using machine learning

13 - Miscellaneous

14 - Python Crash Course

2 - Installation and Colab

3 - Python for Data Analysis Numpy

4 - Python for Data Analysis Pandas

5 - Python for Data Visualization Matplotlib

15 - Matplotlib Introduction.mp4

MP4

45.5 MB

16 - Matplotlib Bar Graphs.mp4

MP4

24.9 MB

17 - Matplotlib Histogram.mp4

MP4

15.6 MB

18 - Matplotlib Scatter Plot.mp4

MP4

18.9 MB

19 - Matplotlib Area Plot.mp4

MP4

16.2 MB

20 - Matplotlib Pie Chart.mp4

MP4

9.8 MB

21 - Matplotlib Subplots.mp4

MP4

12.7 MB

6 - Supervised Machine Learning

22 - What is Supervised Machine Learning and Linear Regression Algorithm.mp4	MP4	42 MB
23 - Implementation of Linear Regression.mp4	MP4	42 MB
24 - Plot Linear Regression.mp4	MP4	28.9 MB
25 - Implementation of Multi Linear Regression.mp4	MP4	29 MB
26 - Example 2 Multilinear Regression.mp4	MP4	28.7 MB
27 - Use Case Boston Housing Price Prediction.mp4	MP4	82.3 MB
28 - Save Model.mp4	MP4	36.3 MB
29 - how to implement Logistic Regression.mp4	MP4	26.3 MB
30 - Logistic Regression on Iris Flower Dataset.mp4	MP4	58.8 MB
31 - Logistic Regression on Digits Dataset.mp4	MP4	43.3 MB
32 - Naive Bayes Classifier.mp4	MP4	33.6 MB
33 - Implementation of Naive Bayes classifier on Wine Dataset.mp4	MP4	45.6 MB
34 - Introduction to Naive Bayes Classifier for Text Classification.mp4	MP4	12.1 MB

20 matching files shown out of 43 matching files, 187 total files.

Seeders: 16
Leechers: 8
Size: 3.1 GB
Files: 187
Age: 4 months ago

187

3.1 GB

4 months ago

Udemy - Machine Learning Using Python Programming

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1 - Introduction to Machine Learning

10 - Support Vector Machines

11 - K Nearest Neighbors for Classification and Regression

12 - Decision Tree Classifier Algorithm

13 - Random Forest Classifier Algorithm

14 - Naive Bayes Algorithm

15 - Resources

Notebooks

16 - KMeans Clustering

2 - Types of Machine Learning

3 - The Machine Learning Pipeline

4 - Numpy Library

5 - Pandas Library

6 - Analysis of Datasets using Pandas and Matplotlib Library

27 - 26 Loading the dataset Important.mp4

MP4

32.3 MB

28 - 27 Analysis of Datasets I.mp4

MP4

42 MB

29 - 28 Analysis of Datasets by Plotting II.mp4

MP4

71.1 MB

7 - The Scikitlearn Library and Preprocessing Techniques

30 - 29 Working with Iris Dataset from sklearn.mp4

MP4

194.1 MB

31 - 30 Binarization.mp4

MP4

43.2 MB

32 - 31 Feature Scaling.mp4

MP4

46.9 MB

8 - Supervised Learning Linear Regression

33 - 32 Analysis of Linear Regression.mp4

MP4

73.8 MB

34 - Use of Gradient Descent Optimizer.mp4

MP4

33 MB

35 - The Gradient Descent Optimizer Algorithm.mp4

MP4

81.1 MB

36 - 33 Demand vs Price Problem to understand Linear Regression.mp4

MP4

71.3 MB

37 - 34 Implementation of Linear Regression I.mp4

MP4

75.8 MB

38 - 35 Implementation of Linear Regression II.mp4

MP4

48.2 MB

39 - 36 Visualizing the LBF using matplotlib.mp4

MP4

23.3 MB

9 - Logistic Regression for Classification Problems

40 - 37 Why does Linear Regression fail for a classification problem.mp4	MP4	39.1 MB
41 - 38 The Sigmoid function in Logistic Regression.mp4	MP4	24 MB
42 - 39 The Confusion Matrix.mp4	MP4	60.1 MB
43 - 40 Implementation of Logistic Regression I.mp4	MP4	150.3 MB
44 - 41 Creating an heatmap of the confusion matrix.mp4	MP4	22.1 MB