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All Levels
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26 Weeks
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MIT Certification
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Industry Immersion
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Capstone Projects
Overview
Our Machine Learning Course in Thane is designed to build a strong foundation in artificial intelligence, data modeling, and predictive analytics. Work with real-world datasets, create intelligent models, and gain practical knowledge of how machine learning is applied across various industries. Learn in a hands-on environment with expert guidance to become industry-ready.
- AI Engineer
- Machine Learning Intern
- Data Scientist
- Research Assistant (Machine Learning)
- Machine Learning Developer
- Machine Learning Consultant
- Junior Machine Learning Engineer
- Machine Learning Engineer
Targeted Job
Roles
Training and Methodology
Get practical exposure and build industry-ready skills with our Machine Learning Course in Thane -
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Hands-On Learning - Practice with real datasets and implement machine learning models step-by-step.
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Live Project Work - Build practical solutions based on real-world business problems and industry scenarios.
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Expert Guidance - Learn from experienced professionals and enhance your analytical and model-building skills.
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Placement Support - Get career assistance with resume building, interview preparation, and job opportunities.
Why Choose This
Course?
Build a Strong Career in Machine Learning
Take the first step into AI with our Machine Learning Course in Thane. Designed for beginners and aspiring professionals, this course covers essential concepts along with practical implementation. With hands-on projects, a structured learning approach, and expert mentorship, you’ll gain real-world experience and the confidence to apply machine learning skills across industries.
Register Now-
Placement Support
Get complete career assistance including resume building, interview preparation, and job referrals.
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Live Industry Projects
Work on real-world datasets and build machine learning models used in practical business scenarios.
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Expert Mentorship
Learn from industry professionals with continuous guidance, model reviews, and performance feedback.
Skills acquired from Machine Learning Course in Thane
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Understand core machine learning concepts, workflows, and real-world industry applications.
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Perform data preprocessing, exploratory data analysis, and handle missing values and outliers effectively.
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Build and evaluate regression models including linear and polynomial regression techniques.
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Apply classification algorithms such as logistic regression, KNN, SVM, and decision trees.
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Understand model evaluation metrics like accuracy, precision, recall, F1 score, and R2 score.
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Prevent overfitting using cross-validation and regularization techniques like ridge and lasso.
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Work with ensemble learning methods such as random forest and gradient boosting.
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Apply clustering techniques like K-means and hierarchical clustering for unsupervised learning.
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Deploy machine learning models using Flask and integrate them into real-world applications.
Technologies and Tools Included in This Course
Complete Syllabus for Machine Learning Course
The curriculum is designed to cover all essential topics in detail.
Introduction to Machine Learning
- What is Machine Learning
- Applications of Machine Learning
- Supervised Vs Unsupervised Machine Learning
- Regression vs classification
Exploratory Data Analysis (EDA)
- Introduction to MongoDB
- Detecting and removal of outliers
- Feature scaling – : Standardization and normalization
Introduction to Linear Regression
- What is regression?
- What is linear regression?
- Building First ML model for marks prediction
- Simple linear regression
- Multiple Regression
- Polynomial Regression
- Error functions in Regression (MAE, MSE, RMSE)
- Calculating accuracy using R2Score
Introduction to Overfitting and underfitting
- Overfitting Vs underfitting
- Bias-Variance Tradeoff
- Regularization Techniques -: Ridge and Lasso
- Understanding and demonstrating Ridge and lasso regression techniques
- Cross Validation Techniques
Introduction to Logistic Regression
- Sigmoid function
- Understanding parameters of logistic regression
- ROC AUC Curve
- Confusion Matrix -: Precision, Recall, accuracy, f1 Score
Introduction to KNN
- Understanding working of K – Nearest Neighbors
- Advantages and drawbacks of using KNN
- KNN for regression
Introduction to SVM
- Understanding Support Vector Machine
- Hard and soft margin
- Understanding Support Vectors , Hyperplane
- Kernel technique
- SVM for regression
Naive Bayes Classifier
- Understanding Naive Bayes Theorem
- Introduction to text classification
- NLP pipeline
- Vectorization of text data
- Case Study -: Spam mail classification using naive bayes
Decision Tree classifier
- Working of DT
- Gini Index and Entropy
- Pruning techniques
- Advantages and disadvantages of Decision Tree
- Decision Tree for regression
Introduction to Ensemble learning
- What is Bagging?
- Random Forest Classifier
- ADA Boost, XGboost, Gradient Boost
- Unsupervised Machine Learning Algorithm
Project deployment using Flask Framework
- Clustering
- K-means Clustering
- Hierarchical clustering
- Association rules
- PCA (principle component analysis)
Projects & Case Study
- CASE STUDY ON BREAST CANCER DETECTION USING CLASSIFICATION ALGORITHMS
- CASE STUDY ON FRAUD DETECTION USING CLASSIFICATION ALGORITHMS
Ready to master
in-demand
ML skills?
Kickstart your journey with our Machine Learning Course in Thane. Learn from industry experts, work on real-world projects, and gain job-ready skills with dedicated placement support. Book your free demo today!
Book Free Demo
Top Recruiters Hiring Machine Learning Professionals
Certification For This
Course
Boost your career with our Machine Learning Course in Thane. Gain hands-on experience through real-world projects and earn an industry-recognized certification that validates your skills and enhances your job opportunities.
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Get in touch today
What Our Students Say
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Data Analytics training boosted my skills and confidence, helping me secure placement at Technimont.
Amruta Pal
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As a beginner, I was scared at first, but MIT’s training program and structure made me confident.
Nikita Chaudhary
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I feel highly confident in my skills and would definitely recommend MIT for a Data Analytics Course.
Rushikesh Kale
Frequently Asked Questions
Find answers to common questions about our Machine Learning Course in Thane. Learn about the syllabus, practical training, certification, and placement support to confidently start your journey in AI and machine learning.
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Who can join the Machine Learning Course in Thane?
Anyone who has completed 10th, 12th, or graduation can enroll. This course is ideal for students from BE, BTech, BCA, MCA, BSc IT, or anyone interested in AI and machine learning.
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What skills will I gain from this course?
You will learn key machine learning skills such as data preprocessing, model building, regression, classification, clustering, and model evaluation using real-world datasets and tools.
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Does the course include hands-on projects?
Yes, you will work on real-world projects such as prediction models, classification systems, and data analysis tasks to gain practical experience.
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Will I get a certificate after completion?
Yes, you will receive a recognized Machine Learning certification after successfully completing the course, which adds value to your resume.
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Is placement support provided?
Yes, we provide placement assistance including resume building, mock interviews, and job support to help you start your career in machine learning.
