Data & AI
Machine Learning with Python
Our ML courses provide you with the tools and techniques to train algorithms tht can learn from data.
4.86
Description
This program provides a structured learning path for Machine Learning, progressing from basic to advanced topics.
Basic topics cover the essentials, including data preprocessing, supervised and unsupervised learning, and Python libraries like NumPy and Pandas.
Intermediate topics delve into advanced algorithms such as Random Forests, SVMs, and Neural Networks, along with specialized areas like Natural Language Processing (NLP) and model evaluation.
Advanced topics explore cutting-edge techniques in Deep Learning, Reinforcement Learning, and deployment strategies, offering hands-on projects and capstone opportunities to apply and reinforce the knowledge gained. This approach ensures a comprehensive understanding of Machine Learning concepts and applications.
Key Features
- Earn a prestigious certification recognized by top Companies
- Curriculum delivered in live online sessions by industry experts
- Stay up-to-date with the cutting edge of technology.
- Live sessions by industry experts on the latest trends
- Engage in 3 capstones and 25+ hands-on projects from various industries
- EDXcellence helps you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts
- Class will be conducting in the evening after 7 PM
- Recordings of the live classes will be available
- Live doubt clear sessions
Why Join This Program
Expert ML Mentors
Learn directly from machine learning professionals working in AI, data science and automation acress top tech companies.
Applied ML Projects
Build 10+ real-world ML Projects – from predictive analytics to recommendation systems and computer vision applications.
Internship & Industry Experience
Gain hands-on exposure with ML-driven startups and enterprises to strengthen your portfolio and employability.
Career & Placement Readiess
Get placement assistance, mock interviews and resume reviews to become industry ready ML and data roles.
Advance Tools and Frameworks
Master essential ML stacks – Python, tensorflow, Scikit-learn, PyTorch and cloud based ML workflows used in real companies.
Capstone & Certification
End with a major capstonesolving a real problem and earn a recognized certificate showcasing your ML expertise.
Industrial Training (Foundations for Machine Learning)
Week 1: Introduction to Machine Learning
- What is Machine Learning? Types (Supervised, Unsupervised, Reinforcement)
- Difference between AI, ML, and DL
- Real-world ML applications across industries
- ML workflow: data → training → evaluation → deployment
- Mini Project: Analyze ML use-cases in business sectors
Week 2: Python for Data Science
- Python essentials (loops, functions, OOP basics)
- Numpy & Pandas for numerical and data manipulation
- Data visualization using Matplotlib & Seaborn
- Exploratory Data Analysis (EDA)
- Mini Project: Visualize real-world dataset trends (e.g., IPL, sales, COVID)
Week 3: Math & Statistics for ML
- Linear Algebra: matrices, vectors, dot product
- Probability, mean, variance, correlation
- Gradient concept & partial derivatives
- Hands-on: Implement gradient descent manually
Week 4: Data Preprocessing
- Data cleaning: missing values, outliers, feature scaling
- Encoding categorical data (One-hot, Label encoding)
- Train-test split, cross-validation
- Major Project: Predict student grades using linear regression
Duration (Core Machine Learning Techniques)
Week 1: Supervised Learning
- Regression: Linear, Polynomial, Ridge, Lasso
- Classification: Logistic Regression, Decision Trees, Random Forest
- Model evaluation metrics (MSE, Accuracy, F1, ROC-AUC)
- Project: Predict house prices / Email spam detection
Week 2: Unsupervised Learning
- Clustering (K-Means, Hierarchical, DBSCAN)
- Dimensionality Reduction (PCA, t-SNE)
- Mini Project: Customer segmentation for marketing
Week 3: Ensemble & Advanced Models
- Bagging, Boosting (AdaBoost, XGBoost, Gradient Boosting)
- Overfitting vs. Underfitting
- Hyperparameter tuning (GridSearchCV, RandomSearchCV)
- Lab: Compare model performance across techniques
Week 4: Feature Engineering & Model Optimization
- Feature importance & selection
- Outlier detection & handling imbalance (SMOTE)
- Feature scaling strategies (Standardization, Normalization)
- Project: Credit risk modeling
Live + Recording (Deep Learning & Model Deployment)
Week 1: Introduction to Deep Learning
- Neural Networks basics, perceptron, activation functions
- Loss functions, backpropagation explained
- Framework setup (TensorFlow / PyTorch)
- Project: Simple neural network for classification
Week 2: Convolutional & Recurrent Networks
- CNN for image data (Conv, Pool, Flatten)
- RNNs, LSTMs for sequential data
- Project: Handwritten digit recognition (CNN) & stock prediction (RNN)
Week 3: Model Deployment & MLOps
- Saving/loading models (Pickle, Joblib)
- Building a Flask/FastAPI ML web app
- Basics of Docker, cloud deploy (Heroku/Render)
- Project: Deploy ML model as a live web API
Week 4: Capstone & Portfolio Development
- Combine multiple ML domains (vision + tabular + NLP)
- Resume + portfolio creation for ML roles
- Capstone Ideas: Predictive Maintenance System, Resume Screening Classifier, Sales Forecasting Engine, Chatbot using pretrained ML models
- Final Presentation & Certificate Evaluation
Industry Recognized Certification
Course Instructors
Enthusiastic Machine Learning Engineer and Data Science Engineer with a strong grasp of Python, SQL, and ML frameworks. Experienced in building ML models, data analysis, and turning insights into action through academic projects and internships.
Eager to tackle real-world challenges and grow in a collaborative, fast-paced environment.
Praneeta Sriram
Skills and Tools Covered
Our Alumni Are Placed At
Pick a program that suits your goal
STEP UP
<2 Months to prepare
- Recorded sessions
- No Live sessions
- 2 projects
- Internships
- 3 certificates
- PLS (Personalized Learning System)
- No Mentor Assistance
- No Doubt clearance session
SWITCH UP
3 Months to prepare
- Live sessions
- Recorded sessions
- 2 Projects
- 4 Certifications
- Lifetime PLS (Personalized Learning System)
- Mentor Assistance
- Doubt clearing sessions
- Pre-placement Assistance
LEVEL UP
3 Months to prepare
- Live sessions
- 2 projects
- 3 certificates
- PLS (Personalized Learning System)
- Mentor Assistance
- Pre-placement Assitance
- No recorded content
WHAT PEOPLE ARE SAYING
Frequently Asked Questions
Who will be our mentor: from the company side or EDXcellence?
Mentors are industry experts as well as representatives from the company associated with your selected project.
How many hours do we need to dedicate daily to complete the prerequisites for the project?
We recommend spending at least 30 minutes to 1 hour daily, depending on the project deadline, to stay consistent.
What is the last date for registration?
The last date for registration depends on the number of seats available. Since students apply from various locations, we recommend booking your seat early.
Mentors are industry experts as well as representatives from the company associated with your selected project.
What are the prerequisites for the live projects?
The prerequisites vary depending on the project. All details will be shared by the respective company on your dashboard.
What if I miss the live classes during the project?
All live sessions are recorded and uploaded on your dashboard. You can access them anytime.
What if I am unable to complete the project? Do I still get certified?
You will get a 15-day extension to complete and submit the project. Once reviewed and approved by the mentor and company, you will receive the certificate
Can I change my domain after registration?
Yes, you can change your domain within 24 hours of registration.
Will the program be recorded or live?
This is a hybrid program. You will need to complete the prerequisites before joining the live classes.
Is an internship guaranteed?
Yes, once your project is reviewed and approved by the company, you will receive a guaranteed internship.
What are the requirements for the classes?
You need a stable internet connection, a laptop or mobile phone, and a notepad with a pen/pencil for taking notes.
What is the duration of the internship?
The internship lasts for two months, during which you will work on a real-life capstone project.
Do I need to appear for an exam before the internship?
No, there is no exam. You just need to complete the prerequisites and submit the live project.
What will be the timing of live interactive sessions during the internship?
Live sessions are usually held in the evenings. You will be notified in advance via email and WhatsApp/Telegram. Recordings will be available on your dashboard.
Will the internship be online or offline?
Most internships are online to avoid travel and accommodation challenges, making it convenient for students.
Do we get any stipend during the internship?
Yes, the stipend ranges from ₹5,000 to ₹15,000, based on your performance and project completion.
What are the chances of getting a PPO (Pre-Placement Offer)?
Your performance will be reviewed by the mentor and company SPOC. If your performance meets their standards, you may be offered a PPO after clearing the interview and hiring rounds.
Can we use the live industrial project as a Minor/Major project?
Yes, you can submit your project as your Minor/Major project.
Which certificate will I get after the internship?
You will receive an Internship Completion Certificate from the respective company.
How do I contact the company or mentors?
You can raise your queries via the student dashboard. All learning materials, projects, and certificates will be accessible there. Lifetime access is provided.
Do I have to pay any additional charges after the full payment?
No, our partner companies do not charge any additional fees post-payment.
Who can I contact for more information?
You can reach us at support@edxcellence.org.in or call the number listed in the ‘Contact Us’ section.
Is EDXcellence a trustworthy platform?
Yes, EDXcellence is a trusted platform that has partnered with reputed companies to provide live projects and internships. We have helped numerous students achieve their career goals through hands-on learning and industry exposure.
How can I trust that this is the right platform?
EDXcellence is an AICTE-approved organization, and our programs are designed to bridge the gap between academic learning and industry requirements. Our transparent processes, industry partnerships, and success stories from previous students validate our credibility. You can also find testimonials and reviews on our website and social media platforms.
What makes EDXcellence unique?
We provide real-world industry projects, guaranteed internships, and opportunities for PPOs. With live and recorded sessions, a dedicated support team, and a focus on practical learning, we ensure you gain valuable experience and certifications.
Are payments secure on EDXcellence?
Yes, all payments are processed through secure and reliable payment gateways. Your information is safe with us.
Who can I contact if I face issues?
You can email us at support@edxcellence.org.in or raise a ticket through your dashboard for any assistance. Our support team is always ready to help.
