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Self Paced Course
Live Training
Offerings
- Live Batch
- Self Paced
Event
Contact us

Live Batch
Self Paced

Self Paced Course
Live Training
Offerings
- Live Batch
- Self Paced
Event
Contact us

Self Paced Course
Live Training

Course Content

Module 1 – Python Basic & Advanced

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Python introduction and setup python

Python data type and Identifiers

Data type and operation , loops, condition

Iteration | functions example | sample calculator app

Lamda functions

File manipulations

classes objects and OOP

Classes and inheritance

Inheritance examples

Exceptions handling

Regular Expressions

Multithreading , Deadlock and working examples

Database connection with python examples and decorator function

Module 2 – Data Science

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1.Model Evaluation

Model Evaluation PPT CODE

2.Data Visualization

Expertifie Data Visualization PPT CODE

3.Creating End-End Machine Learning Algorithm

Machine Learning Project PPT CODE

4.Data Pre-Processing & Data Wrangling

Data Processing and Data Wrangling PPT CODE

5.Logistic Regression

Logistic Regression PPT CODE

6.Linear Regression & Multiple Linear Regression

Expertifie Linear Regression PPT CODE

7.Support Vector Machines (SVM)

Expertifie SVM PPT CODE

8.Regularization

Ridge Regularization PPT CODE

9.Natural Language Processing

Natural Language Processing PPT CODE

10.Recommender Systems

Recommender Systems PPT CODE

11.Anomaly Detection

Anomaly Detection Expertifie PPT CODE

12.Ensemble Learning And Random Forest Algorithm

Random Forest PPT CODE

13.Principal Component Analysis

Principal Component Analysis

14.Decisions Trees

Decisions Trees PPT CODE

15.K-Means Clustering

K-Means Clustering PPT CODE

16.K-Nearest Neighbours

K-Nearest Neighbors PPT CODE

17.Creating end to end ML model for real world problems

Creating_end-to-end_ML_model_for_real_world_problems_II.pdf

18.Text Pre-Processing

Text Pre-Processing.py

19. Neural Networks

Neural_Networks

Data Science Basic & Advanced

Overview
Exercise Files

About Lesson

Exercise Files

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