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MACHINE LEARNING

Launch your career in Data Science with a unique in-class  experience

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This course gives you the opportunity to develop a broad understanding of machine learning, with no technical coding or programming knowledge required. The main focus is to empower you to leverage the techniques of machine learning to sort data and optimize business operations within your organization. Case study analysis enables you to formulate clear problem statement, inspect closely the due process, the practices associated with data handling.

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+35 hours

20 Hours Live classes 

+ 15 Hours Project work

Industry experts

Taught by expert industry professionals.

Basics to Advanced

No programming experience? No worries, we start from the basics!

career mentoring

Placement Assistance, Interview Preparation and more

CURRICULUM

MODULE 1

Introduction to Machine Learning

  • Introduction to Big Data and Machine Learning
  • Understanding Python





MODULE 4

Supervised Learning- Classification

  • Classification fundamentals: Data and Models
  • Understanding Decision Trees and Naive Bayes
  • Feature selection & evaluating models
  • Linear classifiers & Decision boundaries
  • A case study

MODULE 2

Machine Learning Techniques

  • Types of Learning
    • Supervvised Learning
    • Unsupervised Learning
  • Advice for applying Machine Learning
  • Machine Learning System Design


MODULE 5

Unsupervised Learning

  • Clustering
  • Recommendation
  • Deep Learning




MODULE 3

Supervised Learning: Regression

  • Types of Regression Models: Linear, Logistic
  • Predicting house prices: A case study in Regression
  • Linear Regression and Logistic Raegressions: A Model-based approach
  • Overfitting, Feature Selection, etc.


MODULE 6

Machine Learning Advanced Topics

  • Advanced Topics In Machine Learning
  • Reinforcement Learning
  • Deep Learning
  • Capstone Project 1: Predict churned customers.
  • Capstone Project 2: Forecasting Ecommerce Sales


  • Who is this course for?
    Analytics professionals who want to fasten their growth path IT and Software professionals who are looking to get into the field of Analytics. Students and graduates who want to start their career with Analytics, or Anyone who wants to get started with Analytics
  • What are the prerequisites for the course?
    There are no prerequisites for the course. Anyone can take this course. - No prior knowledge of programming is assumed. - No prior knowledge of any subject is assumed.
  • How will TheDataSteps help you get a Data Science Job?
    Getting a Data Science job is not as hard as it sounds. Our instructors will help you refine your profile thoroghly Resume Preparation: We help you customize your resumes for various jobs. Mock interviews (Technical + HR Round) Co-ops & Placement Assistance (we help refer your profile in our network) Capstone Projects: Projects that you can showcase to the recruiters. Disclaimer: No trainer / institution / organization can 100% guarantee a job. We have our 100% commitment to help you until you get a job. Our instructors are experts working in industry and can help you connect to the relevant recruiters.
  • What is the expected salary that I can expect after the course?
    Average Range: Contract-based: $45 to $95 per hour incorporated (Based on experience) Full Time: $80k to $120k yearly (Based on experience) However, the actual salary depends on individual cases. In some cases, a significant high salary is observed while in some cases salary fetched is lower than average.
  • Will I get a course completion certificate?
    Yes, after the course you will receive an e-copy of the certificate. DataSteps certifcates have unique and verifiable IDs that you can share with employers, family and friends.
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