CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (A)
Machine Learning Using Python-OE-1-EEE-D1&D2-VII Sem-2020-21
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Class-1: introduction to machine learning (taken on 10/82020)
Class-2 : introduction to python (taken on 13/8/2020)
class-3: Basics of Python(taken on 17/8/2020)
class-4 MLUP(if, if...else, loops)(taken on 18/8/2020)
Class-5: Strings and functions in Python (taken on 20/8/2020)
class-6: PYTHON SPECIFIC DATA STRUCTURES(24/8/2020)
class-7: Data structures in Python(taken on 27/8/2020)
Class-8: tuples and files(taken on 31/8/2020)
Class-9: ML process(taken on 1/9/2020)
Class-10: Data frame (taken on 3/9/2020)
Class-11: Data visualization(taken on 7/9/2020)
Class-12: Data visualization(taken on 8/9/2020)
Class-13: Box plot and feature engineering(taken on 10/9/2020)
class-14:Handling Numerical values(taken on14/9/2020)
Class-15: Handling categorical values and Time features(taken on 15/9/2020)
Class-16: TFIRD and linear regression(taken on 17/9/2020)
Class-17: linear regression(taken on 21/9/2020)
Class-18: linear regression(taken on 22/9/2020)
Class-19: Gradient Descent(taken on 24/9/2020)
Class-20: Multiple Linear Regression(taken on 29/9/2020)
Class-21: Polynomial Regression(taken on 1/10/2020)
Class-22: Model assessment(taken on 6/10/2020)
Class-23: Regularization(taken on 8/10/2020)
Class-24: KNN(taken on 9/10/2020)
Class-25: Revision for mid-1(taken on 10/10/2020)
Class-26: Kernel Regression(taken on 12/10/2020)
Class-27: LOGISTIC REGRESSION(taken on 19/10/2020)
Class-28: LOGISTIC REGRESSION(taken on 20/10/2020)
Class-29: DECISION TREES(taken on 22/10/2020)
Class-30: DECISION TREES(taken on 27/10/2020)
Class-31: Gini index technique(taken on 29/10/2020)
Class-32: Random Forest and Naïve Bayes classification(taken on 2/11/2020)
Class-33: Classification algorithm coding(taken on 3/11/2020)
Class-34: Clustering(taken on 5/11/2020)
Class-35: Agglomerative Clustering(taken on 9/11/2020)
Class-36: time series analysis(taken on 10/11/2020)
Class-37: regular expressions(taken on 12/11/2020)
Class-38: NLP & window functions(taken on 16/11/2020)
Class-39: Vectirization & Deep Learning(taken on 17/11/2020)
Class-40: Neural Network Architecture(taken on 19/11/2020)
Class-41: Recommendation systems(taken on 23/11/2020)
Class-42: Rivision for mid-2(taken on 24/11/2020)
Class-43:Discussion of mid-2 paper(taken on 26/11/2020)
Unit-1
Introduction to Python
Introduction to Machine Learning
Python specific data structures
ML PROCESS
Unit-2
Data visualization
Feature Engineering
DATA FRAME HANDLING
UNIT-3
REGRESSION
Regularization
LOGISTIC REGRESSION
Decision Tree - ID3 algorithm
Decision Tree - GINI index
Random forest and Naive
Naive Bayes
UNIT-4
K-MEANS CLUSTERING
agglomerative algorithm
UNIT-5
Deep Learning
Slip Tests
slip test-3
CODE
unit-1 TB code
unit-2 TB code
unit-3 TB code
unit-4 TB code
unit-5 TB code
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Machine Learning Using Python-OE-1-EEE-D1&D2-VII Sem-2020-21
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Electrical and Electronics Engineering
UG
AY 2020-21
VII Semester
Machine Learning Using Python-OE-1-EEE-D1&D2-VII Sem-2020-21
Summary
Machine Learning Using Python-OE-1-EEE-D1&D2-VII Sem-2020-21
Teacher:
Smt. E. Swathi Assistant Professor
Skill Level
:
Beginner