Advanced Python Programming

Language: ENGLISH

Instructors: Nandhini S

₹1500 33.33% OFF

₹1000

Why this course?

Description

 

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

What You'll 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, Py plot 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 Lemmatization.
  • 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 Kera's library – Introduction.
  • Day 21 Stock Price Prediction with Machine Learning LSTM RNN
  • Day 22 People’s behavior in chat message using NLP.
  • Day 23 Snake game in Python - Using Py game 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 Color 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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