Learn Machine Learning in Python

Want to learn how magic is created using machine learning? Foray into the world of Machine Learning with ML experts. Learn from the basics - Statistics, Python Libraries, Data Handling and Machine Learning Algorithms

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15th Aug

Limited Seats Available

15th Sept

Limited Seats Available

₹ 25000

Completely online program

Especially designed for summers

Lifetime Access to lectures

Certification program

Course Details

Want to learn how magic is created using machine learning? Foray into the world of Machine Learning with ML experts. Learn from the basics - Statistics, Python Libraries, Data Handling and Machine Learning Algorithms

Features

2.5 months of programPerfect course duration to dive into ML during summers and get certified

30 Live Classes4 Live classes of 1.5 hours each per week from 8:00 pm - 9:30 pm

20+ ML quizesSmall quizzes after every topic to give you a quick check on your understandings

3 ProjectsBuild real-life projects to bring your theoretical learning into practical applications

Expert MentorLearn directly from an expert mentor with 9+ years of experience in analytics & ML

Get CertifiedGet recognized on course completion with highly reputed PrepBytes' certificates

Syllabus

Introduction to data science

Types of analytics
What is machine learning
What is data Analyis
Difference between Descriptive and predictive analytics.
Analytics Project Life cycle

Statisics

Types of variables
Central Tendency
Measure of Statical dispersions
Probability
Probability Distributions
Sampling Techniques
Hypothesis testings

Linear Algebra

Linear Algebra basics
Need to Linear algebra in Machine Learning
Matrix and scalar multiplication
Matrix addition,subtraction ,division,Etc.,
Matrices and vectrors
Matrix inverse and transpose
Matrix rotation & span
Matrix scaling

Python

Why python for data analysis
python 2.7 vs python 3.6
how to install Anaconda
Running few simple programs using python
Python objects
Arrays,Dataframes in python
Python Libraries
Visualisation on dataset using python
Functions in python
String Methods
Conditionals In python
Loops in python
Mastering pandas
Data structures in pandas
Various Dataframe Operations
Grouping, Merging, and Reshaping of Data

Machine Learning

Data Exploration (EDA)
Univariate analysis
Bivariate Analysis
Feature Engineering
Data preprocessing
Supervised Learning
Unsupervised Learning
Diffrence between Classification and Regression
Model Metrics
Simple Linear Regression
Multiple Linear Regression
Logistic regression classification
Decision tree Classification
Random Forest classification
Support Vector Machines classification
Naïve bayes Classification
Decision tree Regression
Random Forest Regression
GLM (Poisson regression, spline)
Support Vector Machines Regression
K-means Clustering
Hireachial cluestering
Associaltion Rule Mining
ECLAT
Ensembling methods
Ada boost Algorithm
GBM
XG-Boost
Dimentionality Reduction Techniques
Feature Selection
Feature Extraction
Model Evaluations
Model Selection
Advance concepts

How to earn the certificate?

Upon successful completion of the course you will earn a certificate. All the assignments should be solved & solutions should be unique.

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Course Mentor

Anand Kashyap

Team Lead - Eris Global Company

Full stack ML professional offering 9+ years of experience in descriptive & predictive Analytics. Responsible for end to end lifecycle of AI pipelines including, identifying modelling approaches, performance evaluation and building and testing of pipelines, optimize pipelines based on production environment and post deployment improvements to the model(s)

Prerequisites & Who all should buy this course?

The course is perfect and highly recommended for students who want to enter into the world of machine learning but are confused where to start from.

You should know the basics of python

You should be willing to work hard and be ready to learn

What our Students Say

Shivam Gupta

My coding experience has improved very much. After joining the program, I am able to write optimized code. The mentors are very helpful. They are always concerned about the students and they explain really well. The lectures are also very simple to understand and gives a clear idea.

Shivani Ravi

PrepBytes have helped me improve my analytical skills & helped me in all the ways possible. My understanding of questions and logic has also increased. The best thing about PrepBytes are the lectures, it is so simple and everything is explained with examples.

Abhishek Kumar

Lectures are up to the mark, concepts are crystal clear by the mentors. And the best part about the course is weekly assignments were provided to us which were not just good but ensuring that we were understanding the concepts but also improved our coding skills considerably.

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