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DataScience - ML & DL

(Batches Start from 10th & 24th May 2021)

About The Program:

With the belief to build a healthy ecosystem as per the Industry Standards REGex Software brings a Summer Training/Internship Program on “DataScience – Machine Learning & Deep Learning”. We organize Summer Training/Internship Program for improving the knowledge and skills of the Students/Professionals, so that they can become expert in Machine Learning and get their Dream Job in Software Development Field in Big MNCs.

REGex Software Services’s “DataScience – Machine Learning & Deep Learning” course is a valuable resource for beginners and experts. This course will introduce you to Classification, Clustering Algorithm and Working on Object Detection & Image Recognition from Basics to Advance. If you want to become Data Scientist, REGex introduce this course for you.

Timing

06:30 PM – 08:30 PM (MWF)

Platform

Google Meet

Duration

10 Weeks

Participants

100 per Batch

What People Tell About Us

Best affordable Python + Django program with live classes and doubt solving. You can also access to recordings of the classes. Teachers and mentor are very good. All syllabus covered in given time. With multiple live examples. Best part of training is friendly environment. Don't hesitate to enroll if you've never heard the name of this company before. You will not be disappointed.

Shubham Katkar Ex-Student, Django Batch

Competitive Programming is the best course they have - i am part of both python and C++ course. Cracked several interviews with their course, poll test & assignment are always new and beneficial. Best CP course you will find here, i hope this will be beneficial for you

Yaman Singh Ex-Student, CP Batch

Tushar sir is best in delivery. His approach is mind blowing. I have not found any gap although I am from U.S Lots of Big Data tools I have learnt like Hadoop, Hive, Spark, Sqoop & most amazingly Talend ETL Tools which was the most lovely part of training. every component is told in very simple terms with great practical approach

Josh Well Ex-Student, BigData Batch

I recently joined Python Django(Web Development - Full Stack)Course About Course: - I must say instructor makes every concept simple to understand - No Copy Paste,Every line of code is explained - Even given Assignments to work on - Even given Projects to work on If you looking to learn Python Django I highly recommend to go for this course

Salman Khan Ex-Student, Django Batch

I am from UK & loved the teaching. Competitive Programming was the best experience I had in coding. I can truly say the money I spend is worth it. Go for it guys!!

Jack Ryan Ex-Student, CP Batch

What you will Learn

  • Python basics, Machine Learning & Deep Learning
  • Supervised and Unsupervised Learning
  • Regression, Classification and Clustering Algorithms
  • Working of Regression and Classification Algorithms from scratch
  • Deep Learning and Working of Deep Neural Networks
  • Image Recognition & Object Detection
  • Handwritten Digit Recognition

Study Material

  • E-Notes
  • Assignments per day
  • Poll test per day
  • Weekly Tests
  • 80+ hours on demand Live Video Lectures
  • Offline Access of Lecture Videos & Notes

  • 24*7 Mentorship Support

  • Working on Live Projects

Output

  • Able to think out of the box
  • Understand different types of machine learning: Supervised, Unsupervised & Reinforcement
  • Understand working of ML models and neural networks from scratch
  • Build and save your ML models using scikit learn
  • Build projects such as handwritten digit recognition, image Classification, object detection etc
  • Build Deep Neural Networks using Tensorflow
  • Work on more then 10 Use CASES
  • Learn to deploy your models on AWS Sagemaker or Google cloud Platform

Live Sessions

Live Sessions by Expertise Trainers and Access of Recorded Session is also available

Live Projects

Get a chance to work on Industry Oriented Projects to implement your learning

24*7 Support

24*7 Mentorship Support available for all Students to clear all of your doubts

Opportunities

REGex provides Internship / Job opportunities to the best Students in different Companies.

Our Students Placed In

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Course Content

  • Machine learning applications
  • ML vs DL
  • Basics of Python [Syntax]
  • Working with Pandas, Numpy & Matplotlib
    ■ Working with Missing Data
    ■ Data Grouping
    ■ Data Subsetting
    ■ Merging & Joining Data Frames
  • Importing Libraries & Datasets
  • Munging & handling missing data
  • Splitting the dataset into Training set & Test set
  • What is actual machine learning
  • Various Aspects of Data – type, Variables & Category
  • Machine Learning & its Various types
  • About Supervised & Unsupervised Learning
  • Understanding Simple Linear Regression
  • Understanding the P -Value
  • Support Vector Regression
  • K nearest neighbours
  • Logistic regression
  • Naive Bayes
  • Decision trees
  • Random forests
  • Bagging Boosting
  • Maximum likelihood classifier
  • Support vector machines

  • Principal Component analysis (PCA – Theory)

  • PCA with Case-Study

  • Linear Discriminant Analysis(LDA) for Dimension Reduction

  • Feature Selection to Select the Most Relevant Predictors

  • Confusion matrix

  • Accuracy Paradox

  • CAP Curve

  • K-Mean Clustering Intuition

  • K-Mean selecting Numbers of Cluster

  • About Reinforcement learning
  • About Traditional A/B Testing

  • NLP Intuition

  • Types of NLP

  • Classification vs Deep Learning Models

  • The Neuron

  • Activation function

  • How Neural network work & learn by itself

  • Gradient Descent

  • Stochastic Gradient Descent

  • Ethics of Deep Learning

  • What are convolutional neural networks [CNN] ?

  • CNN Architecture

  • CNN Code preparation

  • Recurrent Neural Networks

  • Several layers

    ■ ReLLu Operation

    ■ Pooling

    ■ Flattering

    ■ Full Connection

  • Statistics

  • Sample Selection

  • Probability Theory

  • Hypothesis

  • Model Relationship

  • Model Fit

  • Descriptive Statistics

  • Types of Data

  • Qualitative Data

  • Histograms

  • Different Plots

  • Centrality and Spread

  • Outliers

  • Median, Mean, Mode

  • What is computer vision & its application

  • Face Detection

    ■ Adding more features & Categorization

    ■ Object Detection & Image creation

    ■ Working with Images & vectors

  • Facial Expression Recognition in Code (Binary / Sigmoid /Logistic Regression)

  • What are Vectors

  • Working with word Analogy

  • Text Classification

  • Pre Trained word vectors from word2vec

  • Language Models

  • Introduction to Tensorflow / Keras

  • Most used right now

  • Resources gathering

  • Keras dealing with Missing Data

  • Dealing with Categorical data

  • Create your own ML models
  • Deploy ML models
  • AWS Rekognition
  • Industry Based Project related to DataScience

Fee Structure

Indian Fee

₹4999/- (Flat 80% off) => ₹999/-

International Fee

100 USD (Flat 70% off) => 30 USD

Cashback Policy

  • You will get your Unique Referral Code after successful paid registration.
  • You will get ₹50 Cashback directly in your account for each paid registration from your Unique Referral Code on 17th May, 2021(After Closing Registrations of this program) .
  • For Example:- If we received 10 paid registration from your Unique Referral Code then you will receive ₹50*10 = ₹500 on 17th May, 2021.
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(Batches Start from 10th & 24th May 2021)

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*Seats can be filled or Price can be increased at any time. Refund policy is not available*