Machine Learning Training institute in Nerul

Advanced Certification in Machine Learning

Take your first step into the world of smart technology with our Machine Learning Classes in Thane and Navi Mumbai. This course gives you the knowledge and hands-on experience needed to build smart systems that learn and improve over time. Whether you're just starting or want to sharpen your skills, this course will help you become confident and job-ready in the field of Machine Learning.

Advanced Certification Course in Machine Learning
  • OVERVIEW
  • CURRICULAM
  • WHY YUHASPRO ?
  • CERTIFICATION
  • JOB OPPORTUNITES

This course is designed to teach you how Machine Learning works through real practice, not just theory. You’ll learn how to work with real data and build models that make predictions, recognise patterns, and solve real-world problems.

Here’s what you’ll learn:
  • Core statistics concepts: probability, distributions, and hypothesis testing
  • Machine learning fundamentals and real-world applications
  • NumPy, Pandas, Matplotlib, and Seaborn
  • Build and evaluate models using Linear & Logistic Regression
  • Hands-on projects with K-Nearest Neighbours, Decision Trees & Random Forest
  • End-to-end model evaluation confusion matrix, ROC curves, F1 score, and more

Gain real-world ML skills with live projects. Enroll now and become job-ready for roles in tech, banking, and more.

Eligibility Criteria

Our Machine Learning Course in Navi Mumbai and Thane is ideal for:

  • Graduates or students from engineering, mathematics, or related backgrounds
  • Working professionals aim to move into AI/ML roles.
  • Passionate people looking to gain practical experience in machine learning.

You don’t need prior experience in machine learning. A logical mindset, basic programming knowledge, and curiosity about intelligent systems are enough.

Core Features of the Course

Structured Curriculum

Covers core ML topics, including algorithms, model training, feature selection, and deployment strategies.

Hands-On Projects

Work on industry-level projects using real data, from prediction systems to recommendation engines.

Expert Instructors

Learn from experienced machine learning practitioners and data scientists with industry exposure.

Placement Support

Get personalised career support like resume review, interview preparation, and job referrals in the ML domain.

Flexible Batches

Weekday and weekend batch options are available to fit your schedule and learning pace.

Affordable Learning

Enjoy flexible payment options, including EMI and interest-free education loan plans.

Join our Machine Learning certification program in Navi Mumbai and Thane and land your first job in Machine Learning.

  • Descriptive statistics: Measure of Central Tendency, Measure of Dispersion, Measure of Shape
  • Probability and sampling: Conditional probability, Bayes theorem
  • Probability Distribution
  • Hypothesis Test

  • Introduction to Machine Learning
  • Types of Machine learning
  • Application of Machine Learning

  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn

  • Introduction to Linear Regression
  • Understanding Ordinary Least Squares
  • Cost Functions
  • Gradient Descent
  • Implementation with Scikit-learn
  • Residual Plots
  • Bias Variance
  • Regularization Overview
  • Feature Scaling
  • Introduction to Cross Validation
  • Linear Regression Capstone Project

  • Introduction to Logistic Regression
  • The Logistic Function
  • Linear to Logistic
  • Linear to Logistic Math
  • Best Fit with Maximum Likelihood
  • Logistic Regression EDA and Model Training
  • Confusion Matrix and Accuracy
  • Classification Matrix: Precision, Recall, F1 Score
  • ROC Curves
  • Logistic Regression Performance Evaluation
  • Multiclass Classification with Logistic Regression
  • Logistic Regression Capstone Project

  • K-Nearest Neighbors
  • Concept and Theory
  • Distance Functions: Euclidean, Murkowski
  • Why Should We Use KNN?
  • Mathematical Approach
  • Dataset with Problem Description
  • Practical Application on Python
  • KNN Capstone Project

  • Introduction to Tree-Based Methods
  • History and Terminology
  • Understanding Gini Impurity
  • Constructing Decision Tree with Gini Impurity
  • Implementation of Decision Tree
  • Decision Tree Capstone Project

  • Random Forest Introduction
  • Random Forest Key Hyperparameters
  • Number of Features and Estimators in Subset
  • Bootstrapping and Out-of-Bag Error
  • Classification Using Random Forest on Python
  • Regression Using Random Forest on Python
  • Random Forest Capstone Project

  • Introduction to Boosting
  • Boosting Methods
  • AdaBoost theory and implementation
  • Gradient Boosting theory and implementation

  • 19 Supervised Learning Capstone Project - Cohort Analysis and Tree Based Methods

  • Introduction to NLP and Naive Bayes Section Theory of classification
  • Naive Bayes Algorithm - Part One - Bayes Theorem
  • Naive Bayes Algorithm - Part Two - Model Algorithm
  • Capstone Project

  • Introduction of Clustering
  • K-Mean Clustering
  • K-Means Clustering Implementation
  • K-Means Color Quantization
  • K-Means Capstone Project
  • Hierarchical Clustering Implementation
  • Hierarchical Clustering Capstone Project

  • Introduction to time series
  • Components of Time Series: Trend, Seasonal, Cyclical
  • Types of Forecasting methods: Autoregressive Model, Moving Average Model, Autoregressive Integrated Moving Average Model
  • Practical application on Python

  • Introduction to PCA
  • Manual Implementation
  • PCA Scikit Learn

Machine Learning Masterclass With Industry Experts

Learn directly from leading professionals, who provide customized support to make you proficient in basic and advanced Machine Learning concepts. Understand how machine learning models fuel data-driven decision-making across various fields.

Hands-on, Real-world Projects

Undertake practical real-world projects that will equip you with the skills to build, train, and deploy machine learning models to solve challenging problems with state-of-the-art algorithms.

Globally Recognized Machine Learning Certification

Gain an eminent certification in Machine Learning that boosts your professional profile, opening doors for you with top employers worldwide by assessing your expertise in this in-demand area.

Career Support & Interview Preparation

Personalized career counseling and job placement support enable you to connect with leading organizations and prepare you for interviewing excellently for jobs in Machine Learning.

Flexible Learning Schedule

Choose full-time, part-time, or weekend classes to learn Machine Learning at your pace while continuing to enjoy work-life balance

Build a career with YuHasProIT in Machine Learning where data into insights leads to an unending trail of possibilities!

Machine Learning is in high demand and offers strong career growth as more companies rely on data and automation to make decisions.

Industries like finance, healthcare, e-commerce, IT, and even entertainment actively hire professionals with ML skills for various roles.

Anyone with an interest in data, coding, or intelligent systems can join, whether you're a student, a graduate, or a working professional.

Yuhaspro provides placement support, including resume guidance, interview prep, and job referrals to help you start your ML career.

This course is beginner-friendly and also valuable for professionals, offering step-by-step learning and hands-on practice to build real skills.

Career Opportunity After Completing Machine Learning Course
  • Machine Learning Engineer
  • Data Scientist
  • AI Engineer
  • Deep Learning Engineer
  • ML Research Scientist
  • Data Analyst (ML-focused)
  • Machine Learning Developer
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Engineer
  • Robotics Engineer
  • ML Operations Engineer
  • Business Intelligence Developer
  • Data Engineer (ML-focused)
  • ML Solutions Architect
  • Quantitative Analyst
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