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

https://www.linkedin.com/in/jeevarajan/