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Hands on Python and R in Data Science (A to Z)

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Course type: Instructor led Course

Platform: UrbanPro

Course ID: 69561

Course type: Instructor led Course

Platform: UrbanPro

80 Hours of Live Interactive classes

On-the-go learning with Mobile App

₹ 40,000

Machine Learning Architect with 13 Yrs of Exp in IT industry, Computer Sci Engg, NIT, Allahabad

No Reviews Yet

About the Course

The Course is designed to cover all the topics in depth.

Salient Feature:

Template Coding - All the code in Python and R is converted to the template to which make it easy for a student to re-use these while working on any project in their company.

 

Detailed Algorithm explanation through Mathematical Equation

 

Limited Students: Only 5 students per batch is allowed to give personal attention to each student effectively.

 

Additional Material: Summary of all Topics for quick review, Projects, Q&A for Interviews

 

Support to Crack Interviews

High-Level Topics

Introduction
 
Part 1 Data Preprocessing

Part 2 Regression
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Support Vector Regression SVR
Decision Tree Regression
Random Forest Regression
Evaluating Regression Models Performance

Part 3 Classification
 Logistic Regression
 K-Nearest Neighbors K-NN
 Support Vector Machine SVM
 Kernel SVM
 Naive Bayes
 Decision Tree Classification
 Random Forest Classification
 Evaluating Classification Models Performance

Part 4 Clustering 
 K-Means Clustering
 Hierarchical Clustering

Part 5 Association Rule Learning 
 Apriori
 Eclat

Part 6 Reinforcement Learning 
 Upper Confidence Bound UCB
 Thompson Sampling

Part 7 Natural Language Processing 

Part 8 Deep Learning 
 Artificial Neural Networks
 Convolutional Neural Networks

Part 9 Dimensionality Reduction 
 Principal Component Analysis PCA
 Linear Discriminant Analysis LDA
 Kernel PCA

Part 10 Model Selection  Boosting 
 Model Selection
 XGBoost

Trainer's Availability

Trainer will work with you to schedule classes, after the course had been paid for. The general availability of the Trainer is given below.

Indian Standard Time(IST)

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ML - Introduction

About the Trainer

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1 Students

2 Courses

Rishi

B-Tech, Computer Science, NIT, Allahabad, 12+ Years Experience

5 Years of Experience

12 years of experience in programming using Python &Shell Script, Cloud & Virtualization technology, 4 Years in Machine Learning. Very good knowledge of software design methodologies, information systems architecture, object oriented design, and software design patterns. Teaching is my pastion and I started teaching 5 years back from Python. Right now I am providing training on Machine Learning with Python and R. I work for a Cloud Company as an Architect\Machine Leaning.

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Rishi

Machine Learning Architect with 13 Yrs of Exp in IT industry, Computer Sci Engg, NIT, Allahabad

No Reviews Yet

80 Hours of Live Interactive classes

On-the-go learning with Mobile App

₹ 40,000

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