🔥Edureka Python for Data Science Certification Training:
This Edureka Data Science Tutorial (Part 2 – https://youtu.be/l2AbVQ4GPQ4) takes PUBG Statistics of players to build a Regression model using the Random Forest Algorithm to determine the Placement Percentile more than 4 Million players. This session will help you learn to perform Exploratory Data Analysis, including hands-on experience with many important libraries such as TensorFlow and Scikit Learn.
Following are the topics discussed in this tutorial:
Exploratory Data Analysis on PUBG Data
Feature Engineering of new attributes
Building a Regression Model using Random Forest
🔸Datasets and code: https://bit.ly/3alteBr
🔹Python Tutorial Playlist: https://goo.gl/WsBpKe
🔹Blog Series: http://bit.ly/2sqmP4s
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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
About the course
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.
Edureka’s Python Certification Training not only focuses on the fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands-on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problems that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.
Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.
Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master concepts like Python machine learning, scripts, and sequence.
Why learn Python?
It’s continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger.
Who Should Go For This Course?
Programmers, Developers, Technical Leads, Architects
Developers aspiring to be a ‘Machine Learning Engineer’
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
‘Python’ professionals who want to design automatic predictive models
For more information, please write back to us at firstname.lastname@example.org or call us at IND: 9606058406 / US: 18338555775