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Yash Kabra

Founder, Atlee Technologies

Yash Kabra is the founder of Atlee Technologies, a product studio that ships SaaS products end-to-end. He owns products from strategy through launch and growth — including Infoplanet, TrackRise and Perqee — and teaches AI, Machine Learning and Data Science at Infoplanet with a focus on how these tools are used to build real products.

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Guides by Yash Kabra

AI Career Roadmap
A practical path into AI: build programming and maths foundations, learn the core machine learning workflow, then deepen into a specialism and prove it with projects.
4 min read
AI vs ML vs Deep Learning
AI is the broad goal of intelligent machines; machine learning is one way to reach it by learning from data; deep learning is a powerful subset of machine learning using neural networks.
4 min read
Classification vs Regression
Classification predicts a category; regression predicts a number. Both are supervised learning — the type of answer you want decides which one you use.
4 min read
Introduction to Computer Vision
Computer vision teaches computers to interpret images. Pictures are grids of numbers, and models learn patterns in those numbers to classify, detect, and read what is in them.
4 min read
Data Preprocessing for ML
Data preprocessing turns raw, messy data into clean, numeric, consistently scaled input that a machine learning model can actually use. It often decides whether a model works.
4 min read
Build Your First ML Model
Building your first ML model follows five clear steps: load data, split it, choose and train a model, evaluate honestly, then predict on new input.
4 min read
Real-Life Examples of Machine Learning
Machine learning already runs quietly in tools you use daily, from spam filters and recommendations to maps, fraud alerts, and voice assistants.
4 min read
Neural Networks, Simply Explained
A neural network is a stack of simple units that each combine their inputs with adjustable weights. Training nudges those weights until the network's outputs match the data.
4 min read
Introduction to NLP
Natural language processing teaches computers to work with human language. It powers translation, search, and chat tools, and starts by turning text into numbers a model can use.
4 min read
NumPy Basics
NumPy gives Python fast, multi-dimensional arrays and the maths to work on them, forming the numerical foundation that machine learning libraries are built on.
4 min read
Pandas Basics
Pandas is the standard Python library for working with tables of data: loading, cleaning, filtering, and summarising the rows and columns that feed machine learning models.
4 min read
Python for AI: Getting Started
Python is the most widely used language for AI thanks to its readable syntax and mature libraries like NumPy, Pandas, and scikit-learn.
4 min read
Supervised vs Unsupervised Learning
Supervised learning trains on labelled data to predict an answer; unsupervised learning finds structure in unlabelled data. The presence or absence of labels decides which you use.
3 min read
आर्टिफिशियल इंटेलिजन्स म्हणजे काय?
आर्टिफिशियल इंटेलिजन्स म्हणजे असे सॉफ्टवेअर जे आपण सहसा माणसाच्या विचारशक्तीशी जोडतो अशी कामे करते — जसे की पॅटर्न ओळखणे, निर्णय घेणे किंवा भाषा समजून घेणे.
4 min read
What is Artificial Intelligence?
Artificial intelligence is software that performs tasks we usually associate with human thinking, such as recognising patterns, making decisions, or understanding language.
4 min read
मशीन लर्निंग म्हणजे काय?
मशीन लर्निंग म्हणजे असे सॉफ्टवेअर तयार करण्याचा मार्ग, जे प्रत्येक परिस्थितीसाठी स्पष्ट नियम देण्याऐवजी डेटामधील पॅटर्न शिकून एखाद्या कामात अधिक चांगले होत जाते.
4 min read
What is Machine Learning?
Machine learning is a way of building software that improves at a task by learning patterns from data, rather than being given explicit rules for every case.
4 min read
Skills of a Data Analyst
The technical and soft skills a data analyst needs, why each matters, and a sensible order to learn them in.
3 min read
Data Cleaning & Wrangling
How to clean real-world data with pandas: missing values, duplicates, type fixes, and text normalisation, the step that takes most of a data project.
3 min read
Data Science Project Ideas
A curated set of beginner data science project ideas, organised by difficulty, with guidance on data and presentation.
3 min read
Data Science Roadmap
A step-by-step learning path for data science, ordering the skills sensibly from foundations to advanced topics.
3 min read
Data Science vs Data Analytics
A clear comparison of data science and data analytics — what each focuses on, the tools each uses, and how to choose a direction.
3 min read
Data Visualization Basics
The fundamentals of data visualisation: choosing the right chart, core design principles, and plotting in Python with Matplotlib.
3 min read
Excel for Data Analysis
How to use Excel for real data analysis: essential formulas, pivot tables, lookups, and charts, the gentlest on-ramp to analytics.
3 min read
Exploratory Data Analysis
What exploratory data analysis is, the questions it answers, and a step-by-step EDA workflow in pandas with examples.
3 min read
Pandas for Analytics
A practical tour of pandas for analytics: loading data, filtering, grouping, aggregating, and combining tables with pandas 2.x.
3 min read
Introduction to Power BI
What Power BI is, the three steps of building a report, and how it fits into a data analyst's toolkit.
3 min read
Python for Data Science
Why Python is the default language for data work, the core libraries you need, and a hands-on first analysis.
3 min read
SQL for Data Analysis
The SQL every data analyst needs: selecting, filtering, grouping, aggregating, and joining tables, with worked examples.
3 min read
Statistics Basics for Data Science
The core statistical ideas every data analyst needs: central tendency, spread, distributions, and correlation, with examples.
3 min read
Introduction to Tableau
What Tableau is, how its drag-and-drop model works, and how to build your first worksheet and dashboard.
3 min read
डेटा सायन्स म्हणजे काय?
डेटा सायन्सची सोप्या भाषेतील ओळख: ते काय आहे, संपूर्ण workflow, यात वापरली जाणारी साधने आणि ते संबंधित क्षेत्रांपेक्षा कसे वेगळे आहे.
3 min read
What is Data Science?
A plain-language introduction to data science: what it is, the end-to-end workflow, the tools involved, and how it differs from related fields.
3 min read

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