Data Scientist

If you want to know how Big companies extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. This is the one of the top paying job in India

Summary

Price

₹ 8,474.58

GST (18) %

₹ 1,525.42

Total

₹ 10,000.00

Program OverView

Key Highlights

  • Machine Learning Course
  • We'll teach you how to program and how to create amazing data visualizations, and how to use Machine Learning with Python

Description

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:

  • Part 1 - Data Preprocessing
  • Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
  • Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
  • Part 4 - Clustering: K-Means, Hierarchical Clustering
  • Part 5 - Association Rule Learning: Apriori, Eclat
  • Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
  • Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP
  • Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
  • Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA
  • Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

Learning Path

We have carefully chosen an approach to help you achieve your goals

  • 1

    Maths

    1. Complete linear algebra: theory and implementation
    2. College Level Advanced Linear Algebra! Theory & Programming!
    3. Statistics for Business Analytics and Data Science A-Z™
  • 2

    Pre-Requisites

    1. Complete Python Bootcamp: Go from zero to hero in Python 3
  • 3

    Beginner

    1. Introduction to Machine Learning for Data Science
  • 4

    Intermediate

    1. A-Z Machine Learning using Azure Machine Learning (AzureML)
    2. R Programming A-Z™: R For Data Science With Real Exercises!
  • 5

    Advanced

    1. The Data Science Course 2019: Complete Data Science Bootcamp
    2. Machine Learning 101 with Scikit-learn and StatsModels
    3. Deployment of Machine Learning Models
    4. NLP - Natural Language Processing with Python
    5. Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
    6. Complete Time Series Analysis With Python
    7. PyTorch for Deep Learning and Computer Vision
  • 6

    Live Projects

    1. The Complete Self-Driving Car Course - Applied Deep Learning
    2. Machine Learning Practical: 6 Real-World Applications
  • 7

    Interview

    1. Python for Data Structures, Algorithms, and Interviews!
    2. (2019) Career Hacking™: Resume, LinkedIn, Interviewing +More
    3. Soft Skills: The 11 Essential Career Soft Skills

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

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