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Henry Harvin® Takes the Top Spot on India’s List of Artificial Intelligence Courses by Express Computer
'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®
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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 in Delhi
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Module 1: Introductory
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
Module 2: Regression
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
Module 3: Unsupervised Learning
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)
Module 4: Analysis
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
Days
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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 in Delhi
Projects
Projects
Projects
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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.
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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
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