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2,727 articles
Supervised Learning in Machine Learning: How It Works, Types and Key Algorithms (Updated August 2026)
Supervised learning is the starting point for most real-world ML projects. This guide explains labeled datasets, features vs labels, the difference between regression and classification, and which algorithms to learn first.
2 Aug 2026
Probability for Machine Learning: Bayes Theorem, Distributions and Rules Explained (Updated August 2026)
Probability is the mathematical language of uncertainty — and machine learning is built on it. This guide covers probability types, addition and multiplication rules, distributions and Bayes Theorem with practical ML examples.
2 Aug 2026
Types of Statistics Explained: Descriptive vs Inferential with Examples (Updated August 2026)
There are two core types of statistics used in machine learning — descriptive and inferential. This guide explains both with practical examples, covering mean, skewness, hypothesis testing and ANOVA.
2 Aug 2026
What Is Statistics in Data Science? Population, Sample, Sampling Methods and Core Concepts Explained (Updated August 2026)
Statistics is the mathematical backbone of every machine learning algorithm. This guide covers what statistics is, its key terminologies, sampling techniques and why no ML career can skip it.
2 Aug 2026
Statistics and Probability for Machine Learning: Complete Beginner Guide (Updated August 2026)
Statistics and probability are the mathematical foundation every ML model rests on. Without them, you cannot understand why models fail, how confident a prediction is, or how to improve accuracy. This guide covers the essentials as taught in ABC's Proficient ML course.
2 Aug 2026
Machine Learning Clustering Algorithms Explained: K-Means, Hierarchical and DBSCAN Guide (Updated August 2026)
Clustering algorithms are the backbone of unsupervised machine learning. This guide covers K-Means, hierarchical clustering, DBSCAN and their real-world applications — explained the way our trainers teach it at ABC Trainings.
2 Aug 2026
Pune Metro Line 3 Opens on the Hinjawadi-Balewadi Stretch: The BIM Career Most Engineers Are Missing (2026)
Pune Metro Line 3's Hinjawadi-Balewadi stretch is now carrying passengers. Most BIM career advice stops at construction -- here is what happens after handover, and the career it opens.
2 Aug 2026
12 Weeks Inside a BIM Batch at ABC Trainings Pune: A Week-by-Week Curriculum Diary (2026)
Course pages list topics. This is a realistic week-by-week walk-through of what a BIM batch at our Wagholi and Hadapsar centres actually covers, in the order it is taught.
2 Aug 2026
Rutuja Darade on Learning Revit Architecture and Revit Structure at ABC Trainings Wagholi, Pune (2026)
Star ratings do not tell a full story. Here is Rutuja Darade's actual learning path through Revit Architecture and Revit Structure at our Wagholi centre, in her own words.
2 Aug 2026
Anomaly Detection in Machine Learning: Isolation Forest and One-Class SVM Guide
Learn anomaly detection in machine learning: how Isolation Forest and One-Class SVM work, when to use each, Python implementation with scikit-learn, and real applications in fraud detection, manufacturing, and IT ops in India.
1 Aug 2026
Machine Learning Algorithm Selection Guide: Which Algorithm to Use and When
A practical guide to choosing the right machine learning algorithm — classification vs regression vs clustering, Random Forest vs XGBoost vs SVM — with Python examples and guidance for Indian IT job seekers.
1 Aug 2026
How to Install Jupyter Notebook for Machine Learning: Step-by-Step Guide
Step-by-step guide to installing Jupyter Notebook for machine learning in 2026: from Python setup to launching in browser, creating notebooks, running code, and fixing common errors.
1 Aug 2026