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'Certified Machine Learning Practitioner' (CMLP) course is a focused 32-hours instructor-led training and certification program that equips participants to understand 'What' & 'How' aspects of Machine Learning using popular tools such as Python & Advanced Excel.
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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®
Machine Learning Course with Python enables professionals to take actionable better Data-Driven decisions to increase market share. By understanding complex algorithms and techniques, participants can effectively analyze large datasets and extract valuable insights. This course also covers practical applications of machine learning in various industries, providing hands-on experience for real-world scenarios.
It is a versatile 10-in-1 program that includes various aspects of competency development and career development.
Become a part of the Elite School of AI & Machine Learning of Henry Harvin® and join the 4,60,000+ large Alumni Network Worldwide.
Get 1-Year Membership of Henry Harvin® Automation Academy and avail the following benefits:
Know the complete offerings of our Machine Learning Course Using Python | CMLP Certification
Average salary hike
Access the best jobs in industry
Maximum salary hike
Two-way Live Training Course
Two-way Live Online Interactive Classroom Sessions
Certification
Distinguish your profile with credentials and showcase expertise with our Hallmark Completion certificate
Projects
Facility to undergo various projects along with the course.
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Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage.
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Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting
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Free Access to #AskHenry Hackathons and Competitions & many other facilities from Henry Harvin®
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Access to 52+ Masterclass Sessions for essential soft skill development
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E-Learning Access
Free access to the E-learning Portal and future updates. Get access to PPTs, Projects, Quizzes, self-paced Video-based learning, a question bank, a library, practice tests, final assessment, a forum, and doubt sessions.
Entrepreneurship Mentorship
Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance and entrepreneur levels
Understanding the need for Analytics in Specific Domain; CRISP Modeling
Properties & Types of Data, Measurement Scale, Basic Statistics on Data
Need for Python, Features of Python, Download, Setup, Installation; Python & Python Studio; Configuration. e.g. Learning to setup Python and share Code
Creating and Understanding Basic Data Structures in Python - Vector, List, Matrix, Array, Data Frame & Factors which help in creating data in Python programming
Understanding how data can be summarized in different ways to do Descriptive Analysis which describes features of data
Understand what is Modeling and how it can be used in Various Domain
P Value, Z Value, Hypothesis, Null Hypothesis, Alternative Hypothesis, F Test, ANOVA Introduction)
Start of Machine Learning, Develop a Prediction Model for predicting a financial values based on one or more than 1 Independent Variable; Understand the assumptions and measures of goodness of Model, Understand its prediction ability
Creating Graph in Python and understanding which graph to be used when
Understanding how missing values & outliers are handled in data summarization & modeling
Predicting Binary Outcome (Buy or not, Churn or not, Loan Default or not) based on Independent Variables e.g. Predicting Cases for Fraud, Default on Payment etc
Grouping Customers based on characteristics so that they can be target for sale increase
When to use CART & CHAID to create a decision tree based on categorical variables.
Random Forest, XGBoost: Problems of Decision Tree covered in Random Forest, How group thinking impacts the decisions (from business point of view)
Understand how Association Rules can be created using Market Basket Analysis. Finding Interesting association between items purchased by Customers and building strategy to sell more
Configure Twitter Account & Application; Setup for downloading tweets and analyse them for positive and negative sentiments related to Financial News/ Articles
Know the complete offerings of our Machine Learning with Python ( CMLP) Course
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Logistic Regression
Analysis
Ensemble
Clustering
Linear Regression
Analytical Modeling
Statistics
Data Structure
Data Manipulation & Summarization
Know more about 50+ tools covered in this Machine Learning with Python ( CMLP) Course
Know more about the value of this certificate in the industry
We are dedicated to supporting our students throughout their career journey. Join us, and let's embark on a journey towards a successful and fulfilling career together.
Exclusive access to our dedicated job portal and apply for jobs. More than 2100+ hiring partners’ including top start–ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Share what kind of job you are looking for and we will provide you with verified job openings that match your requirement.
Machine Learning Engineer - Python
Data Engineer - Python
Data Scientist - Python
Python Developer
Machine Learning Scientist - Python
ML Researcher
Business Intelligence Analyst
Quantitative Analyst
AI Product Manager
Machine learning with Python course will give you all the tools you need to get started with future predictions about upcoming trends.
After completing this course with Henry Harvin, you will become eligible for machine learning jobs in India as well as abroad. This is the most relevant course for you as per the demands of the market.
We do have classroom training but in this scenario, we are conducting online classes.
At Henry Harvin, the duration of this course incudes 32 hours of classroom training followed by 24 hours of live online training and 50 hours of E-learning access.
The given course will help you both in terms of starting your own business as well as fetching a job. It would help you distinguish your profile from others by adding CMPL with your name
Looking at the latest demands in the market, the course has been designed keeping in mind the following things:
The 50 hours free access of E-learning provides the learners with a lot many added benefits like case studies, projects, games, recorded videos etc.
You need login to our website with your credentials and our relationship manager will guide you throughout the process.
We accept Card payment, Net banking as well as other online payments.
The fee for the course is INR 15,000 which includes the E- learning resource but the benefits that it offers are way more than the amount mentioned.
Python code is understandable by humans, which makes it easier to build models for Machine Learning.
In the recent era, the use technology has increased multi-folds, in this technology prone era, you have to take the help of new technologies and learn to use them. Thus, this course has become all the more essential for people.
You become eligible for high paying jobs in analytics and become a ‘Certified Machine Learning Practitioner.
We at Henry Harvin provide the best learning benefits provide experts who are experienced. In addition, you also get the membership of our learning resource for 1 year and Job Support.
We at Henry Harvin give you multiple options and provide maximum handholding. In case you miss a class, you can watch the recorded session or can attend the session with the next batch.
Yes, you can ask your doubts and contact the faculty even after the Machine Learning course with Python course.
Yes, you can ask your doubts and contact the faculty even after the Machine Learning course with Python course.
The course is divided into four major modules which are further sub divided into sub-modules for better understanding.
You can go through their reviews here: https://www.henryharvin.com/machine-learning-course-using-python
You can delve deeper into the entire scenario by downloading the brochure from: https://www.henryharvin.com/machine-learning-course-using-python
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