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[ DevCourseWeb com ] Udemy - Data Science And Machine Learning Basic To Advanced
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1 - Welcome and Course Overview
1 - Welcome-to-the-Course.pptx
1 - Welcome.mp4
2 - Course Overview.mp4
2 - Course-Overview.pptx
2 - Numpy
3 - Numpy Introduction and Installation.mp4
4 - Creating Arrays in Numpy.mp4
4 - Creating-Arrays-Numpy.ipynb
5 - Array Shape and Reshape.mp4
5 - Shape-and-Reshape.ipynb
6 - Array Indexing.mp4
6 - Array-Indexing.ipynb
7 - Array Iterating.mp4
7 - Array-Iterating-Practical.ipynb
8 - Array Slicing.mp4
8 - Array-Slicing.ipynb
9 - Searching and Sorting.mp4
9 - Searching-and-Sorting-numpy-array-prac.ipynb
3 - Pandas
10 - Pandas Introduction and Installation.mp4
11 - Pandas Series.mp4
11 - Pandas-Series.ipynb
12 - Pandas DataFrame.mp4
12 - Pandas-DataFrame-Practical.ipynb
13 - Pandas ReadCSV.mp4
13 - Read-CSV.ipynb
14 - Analyzing-DataFrames.ipynb
14 - Pandas Analyzing DataFrames.mp4
4 - Data Visualization
15 - Matplotlib Introduction.mp4
15 - Matplotlib-Intro-and-Getting-started.ipynb
16 - Different types of plots in Matplotlib.mp4
16 - Different-types-of-plots-in-Matplotlib.ipynb
17 - Seaborn.mp4
5 - Data Preparation
18 - Handling Missing Values.mp4
18 - Handling-Missing-Values-1.pptx
18 - Missing-Values.ipynb
19 - Feature Encoding.mp4
19 - Feature-Encoding.ipynb
19 - Feature-Encoding.pptx
20 - Feature Scaling.mp4
20 - Feature-Scaling.ipynb
6 - Machine Learning
21 - Machine Learning Introduction.mp4
22 - Supervised Machine Learning.mp4
23 - Unsupervised Machine Learning.mp4
24 - Train Test Split.mp4
25 - Regression Analysis.mp4
26 - Linear Regression.mp4
26 - Linear-Regression.ipynb
26 - Linear-Regression.pptx
26 - Salary-Data.csv
27 - Logistic Regression.mp4
27 - Logistic-Regression-Practical.ipynb
27 - Logistic-Regression.pptx
28 - K-Nearest-Neighbors-KNN.pptx
28 - KNN-Practical.ipynb
28 - KNN.mp4
28 - User-Data.csv
29 - SVM-Practical.ipynb
29 - SVM.mp4
29 - Support-Vector-Machine-SVM.pptx
29 - User-Data.csv
30 - Decision Tree.mp4
30 - Decision-Tree-Algorithm.pptx
30 - Decision-Tree-Practical.ipynb
30 - User-Data.csv
31 - Random Forest.mp4
31 - Random-Forest-Algorithm.pptx
31 - Random-Forest-Practical.ipynb
31 - User-Data.csv
32 - K Means Clustering.mp4
32 - K-Means-Clustering-Algorithm.pptx
32 - K-Means-Practical.ipynb
32 - Mall-Customers.csv
33 - GridSearch CV.mp4
33 - GridSearch-CV.ipynb
33 - GridSearchCV.pptx
7 - Machine Learning Pipeline
34 - ML-Pipeline.ipynb
34 - Machine Learning Pipeline.mp4
34 - Machine-learning-Pipeline.pptx
8 - Projects
35 - Diabetes Prediction.mp4
35 - Diabetes-Prediction-Project.ipynb
35 - diabetes.csv
36 - Insurance Cost Prediction.mp4
36 - Medical-Insurance-Cost-Prediction.ipynb
36 - insurance.csv
Bonus Resources.txt
Torrent description
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