Machine Learning Online Course
Course Overview
Online Live Instructor Online Training
Impartation of practical knowledge & skills
Training by Real-time experts in the domain
Assistance in practice with Real-time examples
Help in understanding technology workflow
Guidance according to future requirements
Customized feedbacks on assignments
Reliable and affordable services
Services according to clients’ needs
Solving the problem at given amount of time
Problems in understanding the new technology you have been assigned ? Dont worry, we are there to help you solve your problem.
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects
Introduction to Machine Learning
1.1 Need of Machine Learning
1.2 Introduction to Machine Learning
1.3 Types of Machine Learning, such as supervised, unsupervised, and reinforcement learning, Machine Learning with Python, and the applications of Machine Learning
Supervised Learning and Linear Regression
2.1 Introduction to supervised learning and the types of supervised learning, such as regression and classification
2.2 Introduction to regression
2.3 Simple linear regression
2.4 Multiple linear regression and assumptions in linear regression
2.5 Math behind linear regression
Classification and Logistic Regression
3.1 Introduction to classification
3.2 Linear regression vs logistic regression
3.3 Math behind logistic regression, detailed formulas, the logit function and odds, confusion matrix and accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR
Decision Tree and Random Forest
4.1 Introduction to tree-based classification
4.2 Understanding a decision tree, impurity function, entropy, and understanding the concept of information gain for the right split of node
4.3 Understanding the concepts of information gain, impurity function, Gini index, overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning
4.4 Introduction to ensemble techniques, bagging, and random forests and finding out the right number of trees required in a random forest
Naïve Bayes and Support Vector Machine (self-paced)
5.1 Introduction to probabilistic classifiers
5.2 Understanding Naïve Bayes and math behind the Bayes theorem
5.3 Understanding a support vector machine (SVM)
5.4 Kernel functions in SVM and math behind SVM
Unsupervised Learning
6.1 Types of unsupervised learning, such as clustering and dimensionality reduction, and the types of clustering
6.2 Introduction to k-means clustering
6.3 Math behind k-means
6.4 Dimensionality reduction with PCA
Natural Language Processing and Text Mining (self-paced)
7.1 Introduction to Natural Language Processing (NLP)
7.2 Introduction to text mining
7.3 Importance and applications of text mining
7.4 How NPL works with text mining
7.5 Writing and reading to word files
7.6 Language Toolkit (NLTK) environment
7.7 Text mining: Its cleaning, pre-processing, and text classification
Introduction to Deep Learning
8.1 Introduction to Deep Learning with neural networks
8.2 Biological neural networks vs artificial neural networks
8.3 Understanding perception learning algorithm, introduction to Deep Learning frameworks, and TensorFlow constants, variables, and place-holders
Time Series Analysis (self-paced)
9.1 What is time series? Its techniques and applications
9.2 Time series components
9.3 Moving average, smoothing techniques, and exponential smoothing
9.4 Univariate time series models
9.5 Multivariate time series analysis
9.6 ARIMA model and time series in Python
9.7 Sentiment analysis in Python (Twitter sentiment analysis) and text analysis
0
0
0
0
Specialisation
You can choose one or more specialisations, as per your background and career aspirations
-
Data Engineering
-
Classes and Objects
6hr 5min
-
Inheritance and Polymorphism
6hr 10min
-
Arrays and Linked Lists
6hr 5min
-
Data Engineering
-
Classes and Objects
6hr 5min
-
Inheritance and Polymorphism
6hr 10min
-
Arrays and Linked Lists
6hr 5min
-
Data Engineering
-
Classes and Objects
6hr 5min
-
Inheritance and Polymorphism
6hr 10min
-
Arrays and Linked Lists
6hr 5min
-
Data Engineering
-
Classes and Objects
6hr 5min
-
Inheritance and Polymorphism
6hr 10min
-
Arrays and Linked Lists
6hr 5min
-
Data Engineering
-
Classes and Objects
6hr 5min
-
Inheritance and Polymorphism
6hr 10min
-
Arrays and Linked Lists
6hr 5min
-
Data Engineering
-
Classes and Objects
6hr 5min
-
Inheritance and Polymorphism
6hr 10min
-
Arrays and Linked Lists
6hr 5min
Industry Projects
Learn through real-life industry projects sponsored by top companies across industries
- Engage in collaborative projects with student-mentor interaction
- Benefit by learning in-person with expert mentors
- Personalised subjective feedback on your submissions to facilitate improvement
- Get what you want at your convenience.
Top Skills You Will Learn
Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing
Who Is This Program For?
Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals
Job Opportunities
Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist
The Benchteq Advantage
Strong hand-holding with dedicated support to help you master the subject.
Best Trainers Screened By Us Perfect For You
- Benchteq is always ready to serve you pick up your phone, to get quality services from real time experts.
- Receive unparalleled guidance from industry mentors, teaching assistants and graders
- Receive one-on-one feedback on submissions and personalised feedbacks on improvement
- A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
- Success Mentors are your single points of contact for all your non-academic queries
Be future ready. Start learning
Instructor Android Development live online classes
-
Q&A Forum
- Timely doubt resolution by Industry experts and peers
- 100% Expert-verified responses to ensure quality learning
Expert Feedback- Personalised expert feedback on assignments and projects
- Regular live sessions by experts to clarify concept related doubts
Over 500 Careers Transformed
- Get personalised career paths traced by experts to ascertain the best opportunities
- Obtain specific, personalised inputs on your resume structure and content
-
Get unlimited mock interview sessions with hiring managers and receive detailed feedback
-
Get an opportunity to interview for Benchteq’s 100+ hiring partners with Benchteq & more
Student Reviews
I have found the best and I have started blogging unexpectedly without any purpose after getting trained I put all my efforts into making it to the top and got succeeded in this.
Abhijeet verma
Choosing one from thousand is a difficult task, and I think I made a perfect choice by joining benchteq for my preparations. thank you guys 🙂
Rohan bansal
The job support provided by Benchteq is awesome and I have been selected in Dark Horse with 86% hike which makes me proud to be part of Benchteq
Ajay sharma
Career Counselling
Get personalised career pathing from experts to chart out the best opportunities.
Read More
Resume Feedback
Obtain specific, personalised inputs on your resume structure and content
Read More
Interview Preparation
Get unlimited mock interview sessions with hiring managers and receive detailed feedback
Read More
Job Assistance
Get an opportunity to interview for upGrad’s 300+ hiring partners with Benchteq Career Fairs & more
Read More
Hire an Expert & Get
Your job done .
Would you like to speak to one of our advisers over the phone? Just submit your details and we’ll be in touch shortly.
Related Courses
Python Training
Discover a new career in Python
Android Online Training
Discover a new career in android
Business Analyst Training
Discover a new career in Bus..
PL/SQL Training
Discover a new career in PL/SQL
IOS OnlineTraining
Discover a new career in IOS
Frequently Asked Questions
About the Program
The program has been specifically designed to cater to the needs of learners across job roles and industries. The program would be particularly helpful for the career growth of the following audience:
- Fresh graduates from college
- Currently working in IT service roles like Testing, Maintenance, Support
- Existing software developers working in IT/Tech industry
- Current Project Leads and Managers in IT/Tech Companies
Admission Process and Eligibility
The program has been specifically designed to cater to the needs of learners across job roles and industries. The program would be particularly helpful for the career growth of the following audience:
- Fresh graduates from college
- Currently working in IT service roles like Testing, Maintenance, Support
- Existing software developers working in IT/Tech industry
- Current Project Leads and Managers in IT/Tech Companies
What should I expect from this program?
The program has been specifically designed to cater to the needs of learners across job roles and industries. The program would be particularly helpful for the career growth of the following audience:
- Fresh graduates from college
- Currently working in IT service roles like Testing, Maintenance, Support
- Existing software developers working in IT/Tech industry
- Current Project Leads and Managers in IT/Tech Companies
What is the weekly time commitment expected from me?
The program has been specifically designed to cater to the needs of learners across job roles and industries. The program would be particularly helpful for the career growth of the following audience:
- Fresh graduates from college
- Currently working in IT service roles like Testing, Maintenance, Support
- Existing software developers working in IT/Tech industry
- Current Project Leads and Managers in IT/Tech Companies