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Internship on Python Programming

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Language: English

Instructors: Nandhini S

Validity Period: 90 days

₹2500 28% OFF

₹1800 including GST

Why this course?

Description

About the Program
This Python Masterclass is a comprehensive sessions covering the fundamentals to Advanced Level Expertise in Python Programming. Starting from the Installation , Scripting , Variables , Functions , Call , Libraries , Data Sets Handling , Plotting , Keras , Algorithms and much more , learners will have complete insight into Python Programming - Basic to Advanced

What Youll Get 

✅Recorded videos ,Online support through forums 
✅All Video access for 3 Months
✅Download all source code
✅PPTs
✅Internship E-Certificate
✅Assignments
✅10+ Projects

Agenda of the Program 

  • Day 1 Introduction to Python
  • Day 2 Python – Tools|Syntaxes & Data Structures
  • Day 3 Python – Dictionaries,Date and Time
  • Day 4 Python – MySql
  • Day 5 Pandas library – Introduction
  • Day 6 Pandas library – Data Structures
  • Day 7 Numpy library – Introduction
  • Day 8 Numpy library – Array Manipulations, Mathematical Functions
  • Day 9 Matplotlib , Histogram Using Matplotlib | I/O With Numpy
  • Day 10 Matplotlib Library - Introduction , Pyplot API | Types Of Plots
  • Day 11 Seaborn Library
  • Day 12 SKLearn Library
  • Day 13 Python – Date and Time , Data Wrangling.
  • Day 14 Python – Data Cleansing
  • Day 15 Python – Word Tokenization , Stemming and Lammetization.
  • Day 16 Python – Data Visualization
  • Day 17 Python – Statistical Analysis
  • Day 18 Python – Types Of Distribution
  • Day 19 Python – Correlation ,Chi-Square Test , Linear Regression
  • Day 20 Keras library – Introduction.
  • Day 21 Stock Price Prediction With Machine Learning LSTM RNN
  • Day 22 People’s behavior in chat message using NLP NLP
  • Day 23 Snake game in Python - Using Pygame module
  • Day 24 ChatBot creation in Python NLP
  • Day 25 Electricity Price Prediction Using ML Random Forest Regressor
  • Day 26 Diamond Price Prediction Using Python Linear Regression
  • Day 27 Earthquake Prediction Model Neural networks
  • Day 28 Colour Recognition with Machine Learning OpenCV
  • Day 29 Titanic Survival Analysis Using ML Logistic Regression
  • Day 30 Block-Chain in Python

Course Curriculum

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.

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