FREE 30 Days Machine Learning Master Class with Certification By Pantech Solution | Free Masterclass | Free Webinar | Free Workshop | Free Certification | Live Webinar | Youtube Live |

 

Free 30 Days Master Class on Machine Learning Tamil on April 3rd - May 3rd

FREE 30 DAYS  Machine Learning Class-30 Day Series🔥

Registration form for 30 DAYs  Machine Learning Class WorkShop

The Objective of this Webinar Series is to facilitate the participants' cognizance of the concepts dealt with for substantial utilization of the same in studying, teaching, Research work, and Upgrading. 

Amazon Web Services makes it easy for every Developer, Data Scientist and Programmer to decode ML Concepts and apply them in Real Time..

Cloud Essentials with ML Algorithms within the AWS makes a perfect tool for analysis and prediction..

Learn from the Basics to High-End Skills such as AWS Sagemaker, spending less than 45mins daily for FREE !!

Amazon Web Services

Free Participation Certificate

YouTube: Live

Date: April 3rd - May 3rd

Time: 07.00 - 07.45 PM IST

What you will Learn?

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: Bank Customer classification using ANN ✅Day-29: Pima-Indians Diabetes Classification using CONVOLUTIONAL NEURAL NETWORK ✅Day-30: A.I Snake Game using REINFORCEMENT LEARNINGClick Here To Apply