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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| 10 - Pandas Introduction and Installation.mp4 |
24.82MB |
| 11 - Pandas-Series.ipynb |
1.54KB |
| 11 - Pandas Series.mp4 |
17.01MB |
| 12 - Pandas DataFrame.mp4 |
25.23MB |
| 12 - Pandas-DataFrame-Practical.ipynb |
3.19KB |
| 13 - Pandas ReadCSV.mp4 |
17.90MB |
| 13 - Read-CSV.ipynb |
17.25KB |
| 14 - Analyzing-DataFrames.ipynb |
60.11KB |
| 14 - Pandas Analyzing DataFrames.mp4 |
46.05MB |
| 15 - Matplotlib-Intro-and-Getting-started.ipynb |
15.15KB |
| 15 - Matplotlib Introduction.mp4 |
27.31MB |
| 16 - Different-types-of-plots-in-Matplotlib.ipynb |
29.33KB |
| 16 - Different types of plots in Matplotlib.mp4 |
43.67MB |
| 17 - Seaborn.mp4 |
60.34MB |
| 18 - Handling Missing Values.mp4 |
62.02MB |
| 18 - Handling-Missing-Values-1.pptx |
620.89KB |
| 18 - Missing-Values.ipynb |
14.91KB |
| 19 - Feature-Encoding.ipynb |
36.83KB |
| 19 - Feature Encoding.mp4 |
64.44MB |
| 19 - Feature-Encoding.pptx |
492.31KB |
| 1 - Welcome.mp4 |
21.02MB |
| 1 - Welcome-to-the-Course.pptx |
287.39KB |
| 20 - Feature-Scaling.ipynb |
117.33KB |
| 20 - Feature Scaling.mp4 |
54.08MB |
| 21 - Machine Learning Introduction.mp4 |
35.25MB |
| 22 - Supervised Machine Learning.mp4 |
26.29MB |
| 23 - Unsupervised Machine Learning.mp4 |
21.61MB |
| 24 - Train Test Split.mp4 |
13.87MB |
| 25 - Regression Analysis.mp4 |
53.52MB |
| 26 - Linear-Regression.ipynb |
22.04KB |
| 26 - Linear Regression.mp4 |
49.59MB |
| 26 - Linear-Regression.pptx |
360.12KB |
| 26 - Salary-Data.csv |
454B |
| 27 - Logistic Regression.mp4 |
71.54MB |
| 27 - Logistic-Regression.pptx |
405.18KB |
| 27 - Logistic-Regression-Practical.ipynb |
25.33KB |
| 28 - K-Nearest-Neighbors-KNN.pptx |
519.80KB |
| 28 - KNN.mp4 |
75.27MB |
| 28 - KNN-Practical.ipynb |
60.80KB |
| 28 - User-Data.csv |
10.67KB |
| 29 - Support-Vector-Machine-SVM.pptx |
554.79KB |
| 29 - SVM.mp4 |
60.94MB |
| 29 - SVM-Practical.ipynb |
8.68KB |
| 29 - User-Data.csv |
10.67KB |
| 2 - Course Overview.mp4 |
32.43MB |
| 2 - Course-Overview.pptx |
291.87KB |
| 30 - Decision Tree.mp4 |
70.83MB |
| 30 - Decision-Tree-Algorithm.pptx |
463.37KB |
| 30 - Decision-Tree-Practical.ipynb |
6.37KB |
| 30 - User-Data.csv |
10.67KB |
| 31 - Random Forest.mp4 |
46.36MB |
| 31 - Random-Forest-Algorithm.pptx |
400.85KB |
| 31 - Random-Forest-Practical.ipynb |
6.66KB |
| 31 - User-Data.csv |
10.67KB |
| 32 - K Means Clustering.mp4 |
63.07MB |
| 32 - K-Means-Clustering-Algorithm.pptx |
588.47KB |
| 32 - K-Means-Practical.ipynb |
60.72KB |
| 32 - Mall-Customers.csv |
4.67KB |
| 33 - GridSearch-CV.ipynb |
5.58KB |
| 33 - GridSearch CV.mp4 |
70.43MB |
| 33 - GridSearchCV.pptx |
487.17KB |
| 34 - Machine Learning Pipeline.mp4 |
54.35MB |
| 34 - Machine-learning-Pipeline.pptx |
415.53KB |
| 34 - ML-Pipeline.ipynb |
10.54KB |
| 35 - diabetes.csv |
23.31KB |
| 35 - Diabetes Prediction.mp4 |
75.45MB |
| 35 - Diabetes-Prediction-Project.ipynb |
27.57KB |
| 36 - insurance.csv |
54.32KB |
| 36 - Insurance Cost Prediction.mp4 |
79.79MB |
| 36 - Medical-Insurance-Cost-Prediction.ipynb |
79.93KB |
| 3 - Numpy Introduction and Installation.mp4 |
33.68MB |
| 4 - Creating Arrays in Numpy.mp4 |
49.49MB |
| 4 - Creating-Arrays-Numpy.ipynb |
4.49KB |
| 5 - Array Shape and Reshape.mp4 |
47.11MB |
| 5 - Shape-and-Reshape.ipynb |
5.23KB |
| 6 - Array-Indexing.ipynb |
3.96KB |
| 6 - Array Indexing.mp4 |
33.52MB |
| 7 - Array Iterating.mp4 |
24.08MB |
| 7 - Array-Iterating-Practical.ipynb |
2.11KB |
| 8 - Array-Slicing.ipynb |
4.26KB |
| 8 - Array Slicing.mp4 |
39.96MB |
| 9 - Searching and Sorting.mp4 |
30.62MB |
| 9 - Searching-and-Sorting-numpy-array-prac.ipynb |
3.94KB |
| Bonus Resources.txt |
386B |
| Get Bonus Downloads Here.url |
182B |