Gauri AI Blog
Career guides for data & AI learners in Jaipur
Honest advice on skills, salaries, course fees and roadmaps — written by the trainers at Gauri AI.
Latest article
AI Tools Every Aspiring Data Analyst Should Know
The AI tools for data analysts worth learning in 2026: AI assistants, Copilot in Excel and Power BI, Tableau AI, AI for SQL and Python, plus free options, a learning plan and safe-use tips.
More articles
Offline vs Online Data Analytics Course in Jaipur: Which Is Better?
Offline or online data analytics course in Jaipur? Compare classroom vs live online vs self-paced on cost, flexibility, mentoring and completion, and pick the…
Data Analytics Course Fees in Jaipur: Complete Cost Guide
How much does a data analytics course cost in Jaipur? Compare listed fees, online vs offline pricing, hidden costs, EMI options and whether the…
Best Data Analytics Course in Jaipur: Fees, Syllabus & Career Scope
Looking for the best data analytics course in Jaipur? Compare syllabus, fees, duration, career scope and salaries, plus a 7-step checklist to choose the…
What Is Naive Bayes? Why and How to Use It (Guide with Examples)
Naive Bayes explained simply: Bayes’ theorem, the naive assumption, a worked spam example, types, Laplace smoothing, Python code and real uses.
What Is SVM (Support Vector Machine)? Why and How to Use It (Guide with Examples)
Support Vector Machine explained simply: hyperplane, margin, support vectors, the kernel trick, C and gamma, a worked example, Python code and applications.
What Is KNN (K-Nearest Neighbours)? Why and How to Use It (Guide with Examples)
K-Nearest Neighbours explained simply: how KNN works, distance metrics, a worked example, choosing k, feature scaling, Python code, pros, cons and applications.
What Is Logistic Regression? Why Use It? (Guide with Examples)
Logistic regression explained simply: the sigmoid, odds and log-odds, a worked example, why we use it, Python code, odds ratios, metrics and limitations.
What Is Linear Regression? Why and How We Use It (Guide with Examples)
Linear regression explained simply: the equation, how the best-fit line is found, a worked example, why and how to use it, Python code, metrics…
What Is Supervised Machine Learning? A Detailed Guide with Examples (2026)
Supervised machine learning explained: classification vs regression, key algorithms, evaluation metrics, overfitting, a Python example, applications and how to learn it.
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