CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (A)
  • E1-E2-E3-Machine Learning using Python (OE)-VIII-2021-22
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  • Course data
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    MLUP syllabus
    MLUP Question Bank
    MLUP mid-1 marks
    MLUP lesson plan
    course end survey
    UNIT-1
    Introduction to Python
    Data Structures in Python
    Introduction to Machine Learning
    ML process
    Unit-2
    Data Frame Handling
    Data Visualization
    Feature Engineering
    Unit-3
    Regression hand written notes
    Regression
    Regularization
    decision trees
    Logistic Regression
    Gini index
    UNIT-4
    K-MEANS
    AGGLOMERATIVE CLUSTERING
    TIME SERIES ANALYSIS
    UNIT-5
    Unit-5
    TB CODE
    UNIT-1
    UNIT-2
    UNIT-3
    UNIT-4
    UNIT-5
    Online class links
    31/1/22: Basics of Python
    1/2/22: Basics of Python
    8/2/22: Data Structures in Python
    28/2/22: Data visualization
    7/3/22: Data visualization
    8/3/22: Feature Extraction and Feature Selection
    14/3/22: Data cleaning
    15/3/22: Linear Regression
    22/3/22: Multiple Linear Regression . errors
    23/3/22: Multiple Linear Regression
    28/3/22 Errors
    29/3/22 Lasso and Ridge Regression, Non parametric regression, KNN
    4/4/22 Rivision
    11/4/22: Logistic regression
    12/4/22: Decision Trees and Naive Bayes algorithm
    18/4/22: Random forest
    19/4/22: Clustering
    25/4/2022: Text analysis
    26/4/22: NLP, text classification. Time Series Analysis: Date and time handling
    2/5/2022: window functions, correlation, resampling
    9/5/222: ARIMA , Introduction Neural Networks
    Assignments & Slip Tests
    Slip test-1
    Assignment-1
    Slip test-2
    Assignment-2
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    E1-E2-E3-Machine Learning using Python (OE)-VIII-2021-22
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    Course info

    1. Home
    2. Courses
    3. Electronics and Communications Engineering
    4. UG
    5. Academic Year - 2021-22
    6. VIII Semester
    7. E1-E2-E3-Machine Learning using Python (OE)-VIII-2021-22
    8. Summary

    E1-E2-E3-Machine Learning using Python (OE)-VIII-2021-22

    • Teacher: Smt. E. Swathi Assistant Professor
    Skill Level: Beginner

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