Machine Learning with Python

Dive deep into Machine Learning and become an expert and get certified from CodeQuest.

Flexibility to choose
Real-Time Projects
Internship Certificate
Industry Oriented Training
Our alumini work at


Online Program Duration

3 Weeks

Program Starts

October, 2020

Industrial Training Registration

Industrial Training Registration
Price: ₹​ 5,499.00

45% off  ₹​ 10,000.00

6 Weeks Online Class
Get "Machine Learning" +
"Data Science" Combo at INR 6999
Machine Learning With Python

Will be announced soon...

Course Description

  • Introduction to Data Science and Machine Learning
  • Examples & Techniques of Machine Learning
  • Real Life Industry Based ML Problem Statements
  • Python Installation Guidelines
  • How to use Jupyter Notebook
  • Introduction to Python
  • Python programs
  • Python Data Structures-List
  • Python Data Structures-Dictionary
  • Python Data Structures-Sets
  • Python Data Structures-Strings
  • Python Data Structures-Tuples
  • Python Numpy
  • Python Pandas-Data Frames
  • Python Pandas-Series
  • Python Pandas-Quick-tips
  • Basics of Statistics
  • Central Tendency
  • Covariance
  • Correlation
  • Standard Deviation
  • Z-Score
Data Processing:
  • Data processing techniques in Python
  • Matplotlib Python visualization library
  • Box Plots
  • Histograms
  • Label Encoding
  • One Hot Encoding
  • Training and Testing data
  • Introduction to Clustering
  • Understanding Income Group data set
  • Understanding of K-means Algorithm
  • Implementation of K-means in Python(Income Group)
  • Elbow Test Method
Dimensionality Reduction:
  • Principal Component Analysis(PCA)
  • PCA implementation in Python
Statistics: Feature Scaling:
  • Normalization
  • Standardization
  • Implementation of Feature scaling in Python
Decision Tree:
  • Understanding of Decision Tree
  • Identification of Root Node
  • Implementation in Python
Evaluation: Confusion Matrix:
  • Accuracy
  • Recall
  • Precision
  • F-Score
Random Forest:
  • Understanding of Random Forest
  • Bagging Techniques
  • Implementation in Python
K-Nearest Neighbours:
  • Understanding of KNN algorithm
  • Understanding of iris dataset
  • Implementation in Python
Linear Regression:
  • Understanding of Linear Regression
  • Assumptions of Linear Regression
  • Implementation in Python
  • Problems in achieving accuracy of model
  • R-Square
  • Adjusted R-Square
  • Bias
  • Variance
  • Trade-Off between Bias and Variance
Polynomial Regression:
  • Understanding of Polynomial Regression
  • Implementation in Python
  • Visualization of output by changing parameters
Regularization Techniques
  • Ridge Regression
  • LASSO Regression
  • Elastic Net Regression
Logistic Regression:
  • Understanding of Logistic Regression
  • Implementation in Python
  • Pros and Cons
Naive Bayes:
  • Understanding of Naives Bayes
  • Examples
  • Pros and Cons
  • Implementation in Python
Support Vector Machines:
  • Understanding of Support Vector Machines(SVM)
  • Understanding of different Scenarios
  • Pros and Cons
  • Implementation in Python
Azure Cloud: Azure Machine Learning Studio:
  • Understanding of Azure ML Studio
  • Implementation of case study in Azure ML Studio Demo
NLP Basics:
  • What are NLP and NLTK?
  • NLP setup and overview
  • Reading the text data
  • Exploring the dataset
  • What are Regular Expressions
  • Machine Learning Pipeline
  • Removing Punctuation
  • Tokenization
  • Removing stop words
Supplementing Data Cleaning:
  • Stemming
  • Lemmatizing
  • Text Summarizing-Word Cloud and Topic modelling
Vectorizing Raw Data:
  • Count Vectorizing
  • N-gram Vectorizing
  • Inverse document frequency weighting

Sentimental Analysis in Jupyter Notebook

Real-Time Industry Applicable Projects

These projects can be used as your Mini or Mojor Projects

Image Recognition

Develop a software to identify objects, people, places, and actions in images.

Spam Detection

Develop a Spam Filter from Scratch Using Machine Learning.

Medical Diagnosis

Develop a medical test system to detect infections, conditions and diseases.

Social Media Sentiment Analysis

Develop a social media analytics tool that involves checking how many negative and positive keywords are present in a chunk of conversation.

Sample Certificates

Frequently Asked Questions

  • This Program is offered by India's best Industry expert with minimum Experience of > 4 years.
  • It is an in-depth and comprehensive Program suitable for all aspirants.
  • Unique 4-step learning process: Masterclass Lectures, Hands-on , Mentor ship, and Workshops to ensure fast-track learning.
  • Led by collaborative Faculty from Academia, Industry and Global Blue chip Institutions.
  • Competitive and affordable pricing.

Yes! This Program will help you in getting the Job, Last 2 days of the program is designed to connect you the Industry.

  • 64-bit Operating System
  • 2 GB RAM, 4 GB RAM Recommended

Online is recommended as you don't need to travel.

  • Course Completion Certificate

All the classes Online or Offline are recorded and will be shared on daily basis to every Students .