CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (A)
E1-E2-E3-Machine Learning using Python (OE)-VIII-2021-22
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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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Home
Courses
Electronics and Communications Engineering
UG
Academic Year - 2021-22
VIII Semester
E1-E2-E3-Machine Learning using Python (OE)-VIII-2021-22
Summary
E1-E2-E3-Machine Learning using Python (OE)-VIII-2021-22
Teacher:
Smt. E. Swathi Assistant Professor
Skill Level
:
Beginner