Internship on Machine Learning with Python

Files Included :

1 In this section you will get to know what you will learn through out this course.mp4 (262.53 MB)
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1 Introduction to Numpy.mp4 (36.97 MB)
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2 Matrix construction.mp4 (36.11 MB)
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3 Matrix Operations.mp4 (58.54 MB)
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4 Reshaping the shape of a matrix.mp4 (17.86 MB)
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5 splitting, stacking and Matrix Multiplication.mp4 (54.99 MB)
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6 Date and Time Operations using Numpy.mp4 (24.67 MB)
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7 Implementation of Numpy on Alphabets.mp4 (34.84 MB)
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1 Introduction to Pandas.mp4 (62.34 MB)
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2 Basic operations of a Data Frame.mp4 (79.09 MB)
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3 Data Frame Operations.mp4 (50.66 MB)
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4 Dataframe concatenation and Pivot table Operations.mp4 (184.68 MB)
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1 Line Plot.mp4 (77.03 MB)
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2 Scatter Plot.mp4 (61.48 MB)
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3 Bar Plot.mp4 (27.54 MB)
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4 Histogram.mp4 (15.86 MB)
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5 Box plot and Violin Plot.mp4 (30.03 MB)
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6 Pie Plot.mp4 (17.57 MB)
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1 simple Linear Regression.mp4 (115.16 MB)
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10 Time Series Analysis.mp4 (198.27 MB)
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2 Multiple Linear Regression.mp4 (85.41 MB)
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3 Logistic Regression.mp4 (73.95 MB)
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4 Principal Component Analysis or Dimensionality Reduction.mp4 (93.43 MB)
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5 K - Means Clustering.mp4 (118.82 MB)
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6 K - Neighbors Classifier.mp4 (134.95 MB)
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7 SVM.mp4 (185.4 MB)
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8 Random Forests.mp4 (74.14 MB)
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9 Decision Trees.mp4 (99.25 MB)
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