Machine Learning Master Class | Day - 9

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Register here for Machine Learning Master Class Internship:
https://www.instamojo.com/pantechsolutions/machine-learning-master-class/?discount=youtube

A.I+M.L.+D.A COMBO COURSE LINK
https://www.instamojo.com/pantechsolutions/artificial-intelligence-machine-learning-dat/?discount=ml22

Connect with Speaker Linked In: https://www.linkedin.com/in/sanjay-kumar-a-p-4447801a5/

Learn M.L in 30 Days | Learn Easier & Faster than you think ????
What you will Learn?
✅Day-1: Overview A.I | Machine Learning
✅Day-2: Introduction to Python | How to write code in Google Colab, Jupyter Notebook, Pycharm & IDLE

SUPERVISED LEARNING - CLASSIFICATION & REGRESSION
✅Day-3: Advertisement Sale prediction from an existing customer using

LOGISTIC REGRESSION
✅Day-4: Salary Estimation using K-NEAREST NEIGHBOR
✅Day-5: Digit Recognition using SUPPORT VECTOR MACHINE
✅Day-6: Titanic Survival Prediction using NAIVE BAYES
✅Day-7: Leaf Detection using DECISION TREE
✅Day-8: Handwritten digit recognition using RANDOM FOREST
✅Day-9: Evaluating Classification model Performance using CONFUSION
MATRIX, CAP CURVE ANALYSIS & ACCURACY PARADOX
✅Day-10: Classification Model Selection for Breast Cancer classification
✅Day-11: House Price Prediction using LINEAR REGRESSION Single Variable
✅Day-12: Exam Mark Prediction using LINEAR REGRESSION Multiple Variable
✅Day-13: Predicting the Previous salary of the New Employee using
POLYNOMIAL REGRESSION
✅Day-14: Stock price prediction using SUPPORT VECTOR REGRESSION
✅Day-15: Height Prediction from the Age using DECISION TREE REGRESSION
✅Day-16: Car price prediction using RANDOM FOREST
✅Day-17: Evaluating Regression model performance using R-SQUARED
INTUITION & ADJUSTED R-SQUARED INTUITION
✅Day-18: Regression Model Selection for Engine Energy prediction.

UNSUPERVISED LEARNING - CLUSTERING
✅Day-19: Identifying the Pattern of the Customer spent using K-MEANS
CLUSTERING
✅Day-20: Customer Spending analysis using HIERARCHICAL CLUSTERING
✅Day-21: Leaf types data visualization using PRINCIPLE COMPONENT
ANALYSIS
✅Day-22: Finding Similar Movie based on ranking using SINGULAR VALUE
DECOMPOSITION

UNSUPERVISED LEARNING - ASSOCIATION
✅Day-23: Market Basket Analysis using APIRIORI
✅Day-24: Market Basket Optimization/Analysis using ECLAT

REINFORCEMENT LEARNING
✅Day-25: Web Ads. Click through Rate optimization using UPPER BOUND
CONFIDENCE

Natural Language Processing
✅Day-26: Sentimental Analysis using Natural Language Processing

Day-27: Breast cancer Tumor prediction using XGBOOST

DEEP LEARNING
✅Day-28: Pima-Indians Diabetes Classification
✅Day-29: Covid-19 Detection using CNN

✅Day-30: A.I Snake Game using REINFORCEMENT LEARNING

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