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data science training in bangalore

Data Science Masters Training Program

We have built careers of thousands of Data Science professionals with 100% job assistance in various MNCs. “Training to Job Placement” – is our vision.

Free Workshop & Demo : 2019-05-24 (Fri) @ 08:00 AM

Next Batch Starts On: 2019-05-25 (Sat) @ 09:00 AM





Real Time Projects



Coding Assignments



Case Studies

Why Data Science in Huddle Rise?

If you are planing to set you career as a Data scientist, then you are at the right place. Huddle Rise is considered to be one of the Best Data Science training in marathahalli.

Highly Rated Data science Institute

Since we are deleving a good quality of subject that helps us to rate us high in google about 4.7/5

ISO Standard Certification

Huddle Rise will provide you an iso standard certification for the one who completed course in our institution

24/7 Technical Support

Providing 24/7 coading support that will helps students to clarify their doubts at any period of time

Job Assistance

With Grate quality of our Data science programs every student can capable of getting a job easily and quickly

Job Assistance

Resume Building

We will Help you to Build your resume efficiantly by Industry experts This will make you to land in your desired Job

Real Time Projects

Dealing with real time projects which will makes you ready as experianced data scientist

Mock Interviews

Helps candiates to know about their skills on Perticular subject and getting interview tips

Be a Data Scientist

Start your work with your desired job through placements that we offer to you

Upcoming Batches

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Class Room

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Upcoming Batches



Class Room

Limited Seats Available


Class Room

5 seats Left

Syllabus >>>

Overview of R, R data types and object

Reading and writing data

control structures, functions, scoping rules

Use of Python in Data Science

Where to use python in real time

Python Environment setup, operators

Simple if Statement, if-else Statement

if-elsif Statement.

Introduction To while Loops.

Introduction To for Loops, Using continue and break

List, Tuples, Dictionaries

Python Lists, Tuples, Dictionaries

Accessing Values

Basic Operations

Indexing, Slicing

Built-in Functions & Methods

Defining Functions

Calling Functions

Anonymous Functions – Lambda



Matplot lib

Scikit learn

Numerical Analylsis

Categorical Analysis

Visualizing Data: Box, Scatter, Bar & Histogram

What is Machine Learning?

What is the Challenge?

Introduction to Supervised Learning,Unsupervised Learning.

Introduction to Linear Regression

Linear Regression with Multiple Variables

Disadvantage of Linear Models

Interpretation of Model Outputs

Understanding assumptions of linear regression

Describe or sumarise a set of data

The mean,median,mode, Kurtosis and skewness

Computing Standard deviation and Variance

Covariance, Correlation and Causation

Introduction to Logistic Regression.– Why Logistic Regression

Introduce the notion of classification.

Cost function for logistic regression

Confusion Matrix, Odd’s Ratio And ROC Curve

Advantages And Disadvantages of Logistic Regression.

How to build decision tree?

Understanding Kart Model

Classification Rules- Overfitting Problem

Stopping Criteria And Pruning

Model A decision Tree, Bayes

Random Forests

Hierarchical Clustering

k-Means algorithm for clustering – groupings of unlabeled data points.

Principal Component Analysis(PCA)

Non-probabilistic Parsing, Probability

Information Theory, Language modeling and Naive Bayes

Viterbi Algorithm for Finding Most Likely HMM Path

Lexical Semantics, Sentiment Analysis

Production system, Ontology

Propositional logic,Pattern Recognition

Distance-Based Neural Networks

Population-based search

Introduction to deep learning

Deep L-layer neural network

Forward Propagation in a Deep Network.

Why deep representations, Forward and Backward Propagation

Parameters vs Hyperparameters

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Data Science Training In Marathahalli

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