🔥Edureka Python Certification Training: https://www.edureka.co/python-programming-certification-training
This Edureka Video on Logistic Regression in Python will give you a basic understanding of the Logistic Regression Machine Learning Algorithm with examples. In this Python Tutorial video, you will also get to see a demo on Logistic Regression using Python.
🔸🔹🔶🔹𝐀𝐛𝐨𝐮𝐭 𝐓𝐡𝐞 𝐒𝐩𝐞𝐚𝐤𝐞𝐫🔹🔶🔹🔸
Name: Mr. Shivendra Upadhyay
1. Lead Data Scientist at Ericsson R & D.
2. Over 3 years of people management and mentoring, project management experience.
3. Over 5 years’ of hands-on experience in Data Visualization
4. Lead business initiatives, typically leading analysts across multiple sub-functions in Management Consulting.
5. Working with cross geographical teams, SME, business leaders, and numerous product teams to accelerate the adoption of AI-ML for better business outcomes and efficient product management and implementation.
6. A Senior Data Scientist with over 10+ years of professional experience in the field of IT & Data Science.
7. An Alumnus of RCET, Bhilai, CG.
🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
————————————Edureka Online Training and Certification———————————
🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ
—————————————–Edureka Masters Programs—————————————————
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf
—————————————–Edureka PGP Courses—————————————————
🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
🟣CyberSecurity PGP: https://bit.ly/3eHvI0h
🔵Digital Marketing PGP: https://bit.ly/38cqdnz
🟣Big Data Engineering PGP: https://bit.ly/3eTSyBC
🔵Data Science PGP: https://bit.ly/3dIeYV9
🟣Cloud Computing PGP: https://bit.ly/2B9tHLP
#edureka #PythonEdureka #LogisticRgression #LogisticRegressionusingPython #learnPython #withMe
About the Python Certification Training by Edureka
This Python course is live, instructor-led & helps you master various Python libraries such as Pandas, Numpy and Matplotlib to name a few, with industry use cases. Enroll now to learn Python online & be a certified Python professional with Edureka.
– – – – – – – – – – – – – – – – – – –
What will you learn in Edureka’s Python Training
Edureka’s Python Certification Training will help you to learn about various other Python Fundamentals in this Python Online Training like:
Introduction to Python
Python Sequences and File Operations
Exception Handling in Python
Python Libraries like NumPy, Pandas, Matplotlib
Python GUI Programming
Computer Vision using Python OpenCV
Who should go for Python Online Training?
Edureka’s Python certification course is a good fit for the professionals like Programmers, Developers, Technical Leads and Architects. Even the developers who are aspiring to be a ‘Machine Learning Engineer’ or the Analytics Managers who are leading a team of analysts can learn Python Programming. Along with them Business Analysts who want to understand Machine Learning (ML) Techniques, Information Architects who want to gain expertise in Predictive Analytics and the Python professionals who want to design automatic predictive models can take up this training to get their feet wet with Python Programming.
For more information, Please write back to us at email@example.com or call us at IND: 9606058406 / US: 18338555775 (toll free)