📌 Course Overview
Kickstart your career in Artificial Intelligence & Data Science by mastering the fundamentals of Machine Learning (ML). This beginner-friendly course from ByteOnSkill Technical Institute helps you understand the logic, mathematics, and practical application of ML models using Python.
With real datasets, hands-on exercises, and guided projects, you’ll move from zero to building your own predictive models confidently.
👨🎓 Who Should Enroll?
- BCA / B.Tech / MCA / M.Sc. (CS/IT/Data Science) students
- Aspiring data scientists and AI developers
- Python programmers looking to upskill
- Professionals interested in automation or analytics
- Anyone curious about data and predictions
📚 Course Modules
| Module | Topics Covered |
|---|---|
| 🧠 ML Basics | What is ML, types of ML, use cases in industries |
| 📊 Supervised Learning | Linear Regression, Logistic Regression, KNN, Decision Trees |
| 🧩 Unsupervised Learning | K-means Clustering, Hierarchical Clustering, Dimensionality Reduction |
| 📈 Model Evaluation | Accuracy, Precision, Recall, Confusion Matrix, ROC |
| 🔍 Feature Engineering | Scaling, Encoding, Feature Selection |
| 🐍 Python for ML | Numpy, Pandas, Matplotlib, SciKit-Learn |
| 🔄 Model Training | Train/Test Split, Cross-validation, Overfitting vs Underfitting |
| 🚀 ML Project Pipeline | Problem definition to deployment overview |
🧪 Projects You’ll Build
- House Price Prediction
- Iris Flower Classification
- Spam Email Detector
- Customer Segmentation using Clustering
- Student Performance Predictor
📅 Course Details
- ⏱️ Duration: 5 Weeks
- 🧑🏫 Mode: Offline / Online / Hybrid
- 🎓 Certificate: “Certified ML Beginner – ByteOnSkill”
- 🧰 Tools: Python, Jupyter Notebook, Google Colab, Scikit-Learn
🎯 Learning Outcomes
- Understand core ML algorithms and their applications
- Train & test predictive models using Python
- Work with real-world data using Pandas & Matplotlib
- Deploy basic ML projects and interpret results
- Build a beginner-level portfolio to showcase your skills
💼 Career Options After This Course
- Junior ML Engineer
- Data Analyst
- AI Intern
- Python Developer with ML skills
- Research Assistant (AI/ML Labs)
🌟 Why Choose ByteOnSkill for ML?
✅ Simple, visual, and intuitive teaching style
✅ Real-life datasets & project-driven learning
✅ Career counseling & project GitHub setup
✅ Certification + Interview Prep Sessions
🎁 Bonus Material
📁 Free ML Dataset Bundle
📘 ML Algorithms Handbook (PDF)
🎬 Session Recordings for Revision
💼 Career Prep Toolkit (Resume + LinkedIn Guide)
📞 Join Now
📍 Institute: ByteOnSkill Technical Institute, [Your Location]
📧 Email: ml@byteonskill.com
📱 Call/WhatsApp: +91-XXXXXXXXXX
📅 New Batch Starts: September 5th (Limited Seats Available)
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