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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 - Introduction to Pandas Library.mp4 |
34.67MB |
| 11 - Working with Pandas DataFrames.mp4 |
24.15MB |
| 12 - Slicing and Indexing with Pandas.mp4 |
21.70MB |
| 13 - Create DataFrame and Explore Dataset.mp4 |
75.22MB |
| 14 - Data Analysis with Pandas DataFrame.mp4 |
98.53MB |
| 15 - Other Useful Methods in Pandas Library.mp4 |
45.42MB |
| 16 - Introduction to Matplotlib.mp4 |
15.80MB |
| 17 - Customizing Line Plots.mp4 |
29.39MB |
| 18 - Create Plot Using DataFrame.mp4 |
21.75MB |
| 19 - Standard Scaler to Scale the Data.mp4 |
15.95MB |
| 1 - Introduction to Course.mp4 |
12.39MB |
| 20 - Encoding Categorical Data.mp4 |
45.33MB |
| 21 - Sklearn Pipeline and Column Transformer.mp4 |
36.73MB |
| 22 - Evaluation Metrics in Sklearn.mp4 |
17.81MB |
| 23 - Linear Regression.mp4 |
42.50MB |
| 24 - Evaluation of Linear Regression Model.mp4 |
29.95MB |
| 25 - Polynomial Regression.mp4 |
19.92MB |
| 26 - Polynomial Regression Continued.mp4 |
95.88MB |
| 27 - Sklearn Pipeline Polynomial Regression.mp4 |
62.27MB |
| 28 - Decision Tree Classifier.mp4 |
36.84MB |
| 29 - Decision Tree Evaluation.mp4 |
43.45MB |
| 2 - What is Machine Learning.mp4 |
27.88MB |
| 30 - Random Forest.mp4 |
18.88MB |
| 31 - Support Vector Machines.mp4 |
91.40MB |
| 32 - Kmeans Clustering.mp4 |
10.70MB |
| 33 - KMeans Clustering Hands On.mp4 |
46.92MB |
| 34 - Data Loading and Analysis.mp4 |
25.24MB |
| 35 - Dimensionality Reduction with PCA.mp4 |
52.37MB |
| 36 - Hyper Parameter Tuning.mp4 |
59.56MB |
| 37 - Summary.mp4 |
3.66MB |
| 38 - Introduction to Course.mp4 |
11.93MB |
| 39 - Getting System Ready.mp4 |
52.77MB |
| 3 - Life Cycle.mp4 |
10.97MB |
| 40 - Read and Write Images.mp4 |
40.90MB |
| 41 - Resize and Crop.mp4 |
36.43MB |
| 42 - Working with Shapes.mp4 |
72.04MB |
| 43 - Working with Text.mp4 |
10.18MB |
| 44 - PreRequisite for Face Detection.mp4 |
71.65MB |
| 45 - Detect the Face.mp4 |
50.98MB |
| 46 - Introduction to Deep Learning with Tensorflow.mp4 |
65.51MB |
| 47 - Model Building.mp4 |
59.47MB |
| 48 - Training the Mask Detector.mp4 |
25.39MB |
| 49 - Saving the Best Model.mp4 |
8.74MB |
| 4 - Introduction to Numpy Library.mp4 |
18.71MB |
| 50 - Basic Front End Design of App.mp4 |
65.67MB |
| 51 - File Upload Interface for App.mp4 |
49.59MB |
| 52 - App Prep.mp4 |
87.80MB |
| 53 - App Build and Testing.mp4 |
106.66MB |
| 54 - AWS Deployment.mp4 |
103.89MB |
| 55 - AWS Deployment Continued.mp4 |
26.34MB |
| 56 - Introduction to Pima Indians Diabetes Using Machine Learning.mp4 |
9.55MB |
| 57 - Installation of Anaconda.mp4 |
19.40MB |
| 58 - Installation of Libraries.mp4 |
24.66MB |
| 59 - Steps in Machine Learning.mp4 |
14.30MB |
| 5 - Creating Arrays from Scratch.mp4 |
14.60MB |
| 60 - Dataset and Logistic Regression.mp4 |
35.24MB |
| 61 - Pima Classification.mp4 |
54.55MB |
| 62 - Exclude the Header.mp4 |
115.76MB |
| 63 - Conversion of String into Number.mp4 |
81.28MB |
| 64 - Split the Dataset.mp4 |
130.00MB |
| 65 - Check the ROC.mp4 |
44.68MB |
| 6 - Creating Arrays from Scratch Continued.mp4 |
16.67MB |
| 7 - Array Indexing and Slicing.mp4 |
25.73MB |
| 8 - Numpy Array Functions and Shape Modification.mp4 |
30.57MB |
| 9 - Mathematical Operations on Numpy Arrays.mp4 |
23.09MB |
| Bonus Resources.txt |
386B |
| Get Bonus Downloads Here.url |
181B |