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Category
Self Development
Instructor
MBAHSHIE ISOFA NJOYA (CAA)
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Machine Learning
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Course details
Lectures
36
Level
Advanced
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Machine Learning
MBAHSHIE ISOFA NJOYA (CAA)
Description
Curriculum
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Introduction
1
Welcom
Video lesson
2
Course overview
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Section 1
3
Lesson 1: Numpy introduction and installation
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4
Lesson 2: Creating Arrays in Numpy
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5
Lesson 3: Array shape and reshape
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6
Lesson 4: Array indexing
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7
Lesson 5: Array iterating
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8
Lesson 6: Array slicing
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9
Lesson 7: Searching and sorting
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Section 2
10
Lesson 1: Pandas introduction and installation
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11
Lesson 2: Pandas series
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12
Lesson 3: Pandas data frame
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13
Lesson 4: Pandas readCSV
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14
Lesson 5: Pandas analysing dataframes
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Section 3
15
Lesson 1: Matplotlib introduction
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16
Lesson 2: Different types of plots in matplotlib
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17
Lesson 3: Seaborn
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18
Lesson 4: Handling missing values
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Section 4
19
Lesson 1: Feature encoding
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20
Lesson 2: Feature scaling
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Section 5
21
Lesson 1: Introduction to machine learning
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22
Lesson 2: Supervised machine learning
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23
Lesson 3: Unsuppervised machine learning
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24
Lesson 4: Train test split
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25
Lesson 5: Regression analysis
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26
Lesson 6: Linear regression
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27
Lesson 7: Logistics regression
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Section 6
28
Lesson 1: KNN
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29
Lesson 2: SVM
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30
Lesson 3: Decision tree
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31
Lesson 4: Random Forest
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32
Lesson 5: Means clustering
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33
Lesson 6: Grid Search CV
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Section 7
34
Lesson 1: Machine learning pipeline
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35
Lesson 2: Diabetes Prediction
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36
Lesson 3: Insurance cost prediction
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