Career Blog: Guides for Students & Freshers

4 articles about ML Fundamentals

Article4 Nov 2026
Your First End to End Machine Learning Project on Google Colab: From Problem Definition to GitHub
Build a complete breast cancer classifier on free Google Colab: explore data, build a Pipeline, compare models with cross validation, save with joblib, publish on GitHub, and explain it confidently in placement interviews.
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Article4 Nov 2026
How to Evaluate a Machine Learning Model: Confusion Matrix, Precision, Recall, ROC AUC, Cross Validation and Overfitting Explained
A practical guide for students and freshers on evaluating ML models in scikit learn: confusion matrix, why accuracy misleads, precision, recall, F1, ROC AUC, regression metrics, cross validation and GridSearchCV.
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Article4 Nov 2026
Core Machine Learning Algorithms Explained: Intuition, Scikit Learn Code and Interview Questions
Learn linear and logistic regression, KNN, decision trees, random forests, SVM and k means with clear intuition, runnable scikit learn code, a when to use which guide and common placement interview questions.
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Article4 Nov 2026
Machine Learning for Beginners: Types, Key Terms, Workflow and Your First Python Model
A practical beginner guide to machine learning for Indian students: how it differs from traditional programming, supervised, unsupervised and reinforcement learning, key terms, the full workflow, a first iris model and the maths you need.
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