Simpliv offers value-packed course Machine Learning with Python


1 Machine Learning with Python

December 13, 2018 ( PR Submission Site ) Well-known video learning platform, Simpliv, is offering a virtual online course on Machine Learning with Python. This course is aimed at working professionals such as Data Scientists, Data Analysts, Business Intelligence Managers, Programmers, Developers, Technical Leads, Architects, and even Freshers, who want to augment their learning of Machine Learning with Python.

Keeping in mind the hectic work schedule of most IT professionals, Simpliv has designed this course to suit their convenience. It will be offered over a period of two consecutive weeks starting on Monday, January 7, 2019. The virtual class will be held from 7 to 10 in the evening, IST.

Why take up Machine Learning with Python?

Being among today’s most sought-after technologies, Machine Learning with Python has come to gain ascendancy in the world of IT. As any computer programmer with an elementary knowledge of the subject would vouch for, Python, being an incredibly flexible language, is superbly suited for Machine Learning, which in turn is built to make machines think like humans. This makes Python and Machine Learning inseparable from each other.

Given the fact that the fundamental approach of Machine Learning is to recognize objects, perhaps no programming language is as suited to help it serve this purpose than Python. Python helps Machine Learning make sense of the complex raw data that it has to deal with. This explains why Machine Learning is used in an array of functions ranging from analyzing medical and legal data to helping cars drive on their own to helping us to organize our emails and lots, lots more.

About this course

This course is of 30 hours’ duration and will be held from 7 pm to 10 pm IST from Monday to Friday for two consecutive weeks starting January 5, 2019. The purpose of scheduling this virtual classroom course for these working hours is to ensure that working professionals, for whom this course is designed, will be able to take up this course and complete it after office working hours. Since Simpliv wants to make learning convenient and easy for learners, it has paced this session for this duration to help professionals revise and reinforce the learning over the weekend.

The main objective of this course is to help professionals understand the ways of how to use Python. It will cover all the core areas of Python and Machine Learning. These include these and lots more:

  • Algorithms
  • Supervised vs. unsupervised learning
  • Reinforcement learning
  • Neural networks
  • k-nearest Neighbor Classifier
  • Model evaluation
  • Naive Bayes Classifier.

Why take up this course?

The main reason for which professionals need this course is that the need for continuous learning is an imperative in today’s technical professions. Technologies keep coming up now and then even as existing ones keep becoming obsolete by the day.

In a scenario such as this, IT professionals need to keep upgrading their knowledge base and their skillsets from time to time. Simpliv has designed this course on Machine Learning with Python to help them become competent at these areas and attain a high level of proficiency which helps them become complete Machine Learning and Python professionals.

Simpliv expects learners to have only basic knowledge of Python. This course will cover the following:

Python Introduction

Introduction to Python
Core programming concepts
Objects in Python
Visualizations in Python
Packages in Python
Numpy
Matplotlib
Pandas
Matrix operations
Dataframes
Joins and manipulations in Dataframes
Machine Learning

Data Pre-processing
Regression
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Decision Tree Regression
Random Forest Regression
Classification
Logistic Regression
K Nearest Neighbours (K-NN)
Support Vector Machine (SVM)
Kernel-SVM
Navie Bayes
Decision Tree Classification
Random Forest Classification
Clustering
K Means
Hierarchical Clustering
Association Rule
A priori
Natural Language Processing
Text Mining and Text analytics

Benefits of taking up the Simpliv course on Machine Learning with Python

This course from Simpliv on Machine Learning with Python offer tremendous benefits to its learners. Professionals who take up this course will be able to understand the concepts behind Machine Learning with Python with greater clarity. They will be able to do better in their professions and will be able to close learning gaps.

This course will also help them stay updated with the latest learning and technologies that happen in the world of Machine Learning. They will be able to think with clarity and will be able to resolve many of their day-to-day issues pertaining to Machine Learning.

Machine learning professionals are among the highest paid in the job market today. Payscale.com estimates that their starting pay in India is close to 900,000, while in the US, it is among the highest paid technical jobs. Courses such as the one from Simpliv help professionals reach higher levels in their career faster and reach a higher pay scale with greater acceleration. Considering the enormous wealth of benefit that Simpliv brings into this course, it is offered at a highly reasonable price of   9999.

About Simpliv

Simpliv is a Fremont, CA-based platform for learning. It offers learning on a vast variety of courses that range from technology to spirituality. Simpliv believes that factors such as age, race, religion, color, gender or others should not become impediments to learning. Its courses are offered to learners from all around the world.

Simpliv is driven by the wish to make everyone on this planet educated and fit to face the world. It believes that learning should not be restricted by the subject. This is why it has courses that cover all areas of interest to the human mind.

Contact Us:

Simpliv LLC
Email: support@simpliv.com
Website: https://www.simpliv.com/


Summary

Well-known video learning platform, Simpliv, is offering a virtual online course on Machine Learning with Python.


Leave a Reply