The Supervised Machine Learning Bootcamp Data Science, Python, s

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The Supervised Machine Learning Bootcamp Data Science, Python, s

Torrent Contents Size: 2.77 GB

The Supervised Machine Learning Bootcamp Data Science, Python, s
1 - Introduction
1 - Introduction.mp4
MP4
69.89 MB
2 - Setting up the Environment
2 - Installing Anaconda.mp4
MP4
29.53 MB
3 - Jupyter Dashboard Part 1.mp4
MP4
10.25 MB
4 - Jupyter Dashboard Part 2.mp4
MP4
20.99 MB
5 - Installing the relevant packages.mp4
MP4
22.78 MB
3 - NaΓ―ve Bayes
10 - The HamorSpam Example.mp4
MP4
66.89 MB
11 - The HamorSpam Example Assignment.html
HTML
184 B
12 - Notebooks-and-Dataset.zip
ZIP
168.87 KB
12 - The YouTube Dataset Creating the Data Frame.mp4
MP4
33.75 MB
13 - CountVectorizer.mp4
MP4
36.99 MB
14 - The YouTube Dataset Preprocessing.mp4
MP4
43.97 MB
15 - Exercise-1-solution.ipynb
IPYNB
7.57 KB
15 - Exercise-1.ipynb
IPYNB
7.02 KB
15 - The YouTube Dataset Preprocessing Assignment.html
HTML
60 B
15 - youtube-dataset.zip
ZIP
158.79 KB
16 - The YouTube Dataset Classification.mp4
MP4
23.67 MB
17 - Exercise-2-solution.ipynb
IPYNB
7.68 KB
17 - Exercise-2.ipynb
IPYNB
7.96 KB
17 - The YouTube Dataset Classification Assignment.html
HTML
60 B
17 - youtube-dataset.zip
ZIP
158.79 KB
18 - The YouTube Dataset Confusion Matrix.mp4
MP4
17.79 MB
19 - The YouTube Dataset Accuracy Precision Recall and the F1 score.mp4
MP4
37.74 MB
20 - The YouTube Dataset Changing the Priors.mp4
MP4
40.34 MB
21 - 365-ML-infographic.pdf
PDF
13.76 MB
21 - Exercise-3-solution.ipynb
IPYNB
7.25 KB
21 - Exercise-3.ipynb
IPYNB
3.81 KB
21 - Machine-Learning-with-Naive-Bayes-Course-Notes-365-Data-Science.pdf
PDF
518.57 KB
21 - NaΓ―ve Bayes Assignment.html
HTML
60 B
6 - 365-ML-infographic.pdf
PDF
13.76 MB
6 - Machine-Learning-with-Naive-Bayes-Course-Notes-365-Data-Science.pdf
PDF
518.57 KB
6 - Motivation.mp4
MP4
43.38 MB
7 - Bayes Thought Experiment.mp4
MP4
33.66 MB
8 - Bayes Thought Experiment Assignment.html
HTML
90 B
9 - Bayes Theorem.mp4
MP4
65.92 MB
Download Paid Udemy Courses For Free.url
URL
116 B
How can you help GFC.txt
TXT
286 B
4 - KNearest Neighbors
22 - 365-ML-infographic.pdf
PDF
13.76 MB
22 - Machine-Learning-with-K-Nearest-Neighbors-Course-Notes-365-Data-Science.pdf
PDF
448.46 KB
22 - Motivation.mp4
MP4
24.43 MB
23 - Math Prerequisites Distance Metrics.mp4
MP4
27.79 MB
24 - KNeighborsClassifier-Notebooks.zip
ZIP
9.54 KB
24 - Random Dataset Generating the Dataset.mp4
MP4
16.85 MB
25 - Random Dataset Visualizing the Dataset.mp4
MP4
28.19 MB
26 - Random Dataset Classification.mp4
MP4
50.6 MB
27 - Random Dataset How to Break a Tie.mp4
MP4
26.76 MB
28 - Random Dataset Decision Regions.mp4
MP4
46 MB
29 - Random Dataset Choosing the Best Kvalue.mp4
MP4
32.64 MB
30 - Random Dataset Grid Search.mp4
MP4
27.88 MB
31 - Random Dataset Model Performance.mp4
MP4
21.21 MB
32 - KNeighbors Classifier Assignment.html
HTML
60 B
32 - KNeighborsClassifier-Exercise.zip
ZIP
7.91 KB
33 - KNeighborsRegressor-Notebooks.zip
ZIP
4.73 KB
33 - Theory with a Practical Example.mp4
MP4
43.75 MB
34 - KNN vs Linear Regression A Linear Problem.mp4
MP4
46.73 MB
34 - LinearProblem-Notebooks.zip
ZIP
5.4 KB
35 - KNN vs Linear Regression A Nonlinear Problem.mp4
MP4
33.11 MB
35 - NonLinearProblem-Notebooks.zip
ZIP
5.77 KB
36 - KNeighbors Regressor Assignment.html
HTML
60 B
36 - KNeighborsRegressor-Exercise.zip
ZIP
290.68 KB
37 - 365-ML-infographic.pdf
PDF
13.76 MB
37 - Machine-Learning-with-K-Nearest-Neighbors-Course-Notes-365-Data-Science.pdf
PDF
448.46 KB
37 - Pros and Cons.mp4
MP4
55.22 MB
5 - Decision Trees and Random Forests
38 - Course-Notes-Decision-Trees-and-Random-Forests.pdf
PDF
1006.32 KB
38 - What is a Tree in Computer Science.mp4
MP4
34.84 MB
39 - The Concept of Decision Trees.mp4
MP4
31.62 MB
40 - Decision Trees in Machine Learning.mp4
MP4
47.34 MB
41 - Decision Trees Pros and Cons.mp4
MP4
69.13 MB
42 - Practical Example The Iris Dataset.mp4
MP4
21.83 MB
43 - 5.6.Creating-a-Decision-Tree.ipynb
IPYNB
10.32 KB
43 - Practical Example Creating a Decision Tree.mp4
MP4
32.83 MB
44 - 5.7.Full-Iris-code.ipynb
IPYNB
246.24 KB
44 - Practical Example Plotting the Tree.mp4
MP4
42.97 MB
45 - Decision Tree Metrics Intuition Gini Inpurity.mp4
MP4
53.2 MB
46 - Decision Tree Metrics Information Gain.mp4
MP4
26.36 MB
47 - Tree Pruning Dealing with Overfitting.mp4
MP4
39.41 MB
48 - Random Forest as Ensemble Learning.mp4
MP4
31.99 MB
49 - Bootstrapping.mp4
MP4
29.92 MB
50 - From Bootstrapping to Random Forests.mp4
MP4
25.93 MB
51 - 5.14.Random-Forest-Code-Glass-Dataset.ipynb
IPYNB
12.7 KB
51 - Glass-dataset.zip
ZIP
3.66 KB
51 - Random Forest in Code Glass Dataset.mp4
MP4
52.81 MB
52 - 5.15.Census-Data-Preprocessing.ipynb
IPYNB
69.82 KB
52 - Census Data and Income Preprocessing.mp4
MP4
59.6 MB
52 - Census-Income-Dataset.zip
ZIP
612.27 KB
53 - 5.16.Census-Data-Decision-Tree.ipynb
IPYNB
444.77 KB
53 - Training the Decision Tree.mp4
MP4
27.35 MB
54 - 5.17.Census-Data-Random-Forest.ipynb
IPYNB
75.65 KB
54 - Course-Notes-Decision-Trees-and-Random-Forests.pdf
PDF
1006.32 KB
54 - Training the Random Forest.mp4
MP4
27.17 MB
6 - Support Vector Machines
55 - 365-ML-infographic.pdf
PDF
13.76 MB
55 - Introduction to Support Vector Machines.mp4
MP4
62.4 MB
56 - Linearly separable classes hard margin problem.mp4
MP4
59.15 MB
57 - Nonlinearly separable classes soft margin problem.mp4
MP4
49.84 MB
58 - Kernels Intuition.mp4
MP4
77.05 MB
59 - Intro to the practical case.mp4
MP4
31.54 MB
59 - mushrooms-full-dataset.csv
CSV
357.3 KB
60 - 3.1-Support-Vector-Machines-Classification-Notebook.ipynb
IPYNB
5.81 KB
60 - Preprocessing the data.mp4
MP4
15.06 MB
61 - Splitting the data into train and test and rescaling.mp4
MP4
16.4 MB
62 - Implementing a linear SVM.mp4
MP4
12.66 MB
63 - Analyzing the results– Confusion Matrix Precision and Recall.mp4
MP4
28.22 MB
64 - Crossvalidation.mp4
MP4
76.47 MB
65 - 3.8-Support-Vector-Machines-Classification-complete.ipynb
IPYNB
34.84 KB
65 - Choosing the kernels and C values for crossvalidation.mp4
MP4
18.81 MB
66 - Hyperparameter tuning using GridSearchCV.mp4
MP4
35.14 MB
67 - Social-Purchase-SVMs-Assignment-3-Solution.ipynb
IPYNB
316.35 KB
67 - Social-Purchase-SVMs-Assignment-3.ipynb
IPYNB
316.48 KB
67 - Support Vector Machines Assignment.html
HTML
509 B
67 - social.csv
CSV
13.02 KB
Download Paid Udemy Courses For Free.url
URL
116 B
How can you help GFC.txt
TXT
286 B
7 - Ridge and Lasso Regression
68 - 365-ML-infographic.pdf
PDF
13.76 MB
68 - Regression Analysis Overview.mp4
MP4
29.41 MB
69 - Overfitting and Multicollinearity.mp4
MP4
28.15 MB
70 - Introduction to Regularization.mp4
MP4
25.96 MB
71 - Ridge Regression Basics.mp4
MP4
43.16 MB
72 - Ridge Regression Mechanics.mp4
MP4
46.67 MB
73 - Regularization in More Complicated Scenarios.mp4
MP4
21 MB
74 - Lasso Regression Basics.mp4
MP4
21.63 MB
75 - Lasso Regression vs Ridge Regression.mp4
MP4
33.86 MB
76 - Hitters-Data-Legend.xlsx
XLSX
11.39 KB
76 - Hitters.csv
CSV
20.42 KB
76 - Multiple-Linear-Regression-Ridge-Lasso-Hitters.ipynb
IPYNB
11.71 KB
76 - The Hitters Dataset Preprocessing and Preparation.mp4
MP4
46 MB
77 - Exploratory Data Analysis.mp4
MP4
36.96 MB
78 - Performing Linear Regression.mp4
MP4
52.93 MB
79 - Crossvalidation for Choosing a Tuning Parameter.mp4
MP4
30.49 MB
80 - Performing Ridge Regression with Crossvalidation.mp4
MP4
30.97 MB
81 - Performing Lasso Regression with Crossvalidation.mp4
MP4
30.96 MB
82 - Comparing the Results.mp4
MP4
30.97 MB
83 - Exercise-Solutions.ipynb
IPYNB
46.89 KB
83 - Exercise.ipynb
IPYNB
5.76 KB
83 - Replacing the Missing Values in the DataFrame.mp4
MP4
21.22 MB
Download Paid Udemy Courses For Free.url
URL
116 B
How can you help GFC.txt
TXT
286 B

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