Register For 30 Days Machine Learning Master Class Series IN Pantech prolabs & get e-Certificate
We are happy to announce that we are about to
launch our next 30 Day's challenge on "Machine Learning Master Class
series🤩". We Will cover a comprehensive overview of the exciting
and rapidly growing field of Machine Learning.The series will include a
detailed discussion of supervised learning, unsupervised learning, deep
learning, and more.
30 Day's Machine Learning Master Class
( Language : English)
( Skip : If you have already Registered )
Click here for Free Registration
Event Venue📢 : YouTube
Event Date📅 : Feb 13th - Mar 15th
Event Timing⏰ : 5.30 P.M - 6.30 P.M IST
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: Character 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
Happy Learning
M.K Jeevarajan
DIRECTOR
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