Welcome to the 100 Days of Machine Learning series — one of the most watched and most trusted and Evergreen Machine Learning playlists on Indian YouTube, followed by millions of learners who want to build a strong foundation in ML. This playlist is designed as a step-by-step roadmap to master Machine Learning, starting from the absolute basics and gradually moving toward advanced concepts and real-world implementation. Instead of jumping directly into code, the series focuses on building clear intuition, strong fundamentals, and practical understanding of how machine learning actually works. What you will learn in this series: • AI vs Machine Learning vs Deep Learning • Types of Machine Learning (Supervised, Unsupervised, Reinforcement Learning) • Data preprocessing and feature engineering • Exploratory Data Analysis (EDA) • Important ML algorithms (Regression, Classification, Clustering, etc.) • Model evaluation and validation techniques • Real-world ML workflow and best practices Each video covers a specific concept in a simple and structured way so you can build knowledge one step at a time, just like a 100-day learning roadmap. If you want to build a strong Machine Learning foundation for Data Science, AI, or ML Engineering, this playlist will guide you from beginner concepts to industry-level understanding. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes
Curated by: CampusX (134 videos)
JavaScript Object Notation (JSON) is a standard text-based format for representing structured data based on JavaScript object syntax. JSON is a lightweight data format used for data interchange between multiple different languages. It is easy to read for humans and easily parsed by machines. It's pretty common for websites to return JSON from API's so that the information is easy to parse by different programming languages. SQL(Structured Query Language) is used to manage relational databases, and It is used to perform fetching rows, database creation, modifying databases, deleting databases, and also reading, writing data. It is extremely useful in managing structured data, i.e. data that is used to represent relations among entities and variables. SQL is predicated on relational algebra and tuple relational calculus. MS Access, MySQL is a standard database language. Working with JSON/SQL involves handling structured data in JSON format or querying relational databases using SQL, essential skills for data manipulation and analysis. Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day16%20-%20working-with-json-and-sql Xampp download link: https://www.apachefriends.org/index.html World dataset : https://www.kaggle.com/busielmorley/worldcities-pop-lang-rank-sql-create-tbls?select=world.sql Pandas read_json documentation: https://pandas.pydata.org/docs/reference/api/pandas.read_json.html Pandas read_sql_query documentation: https://pandas.pydata.org/docs/reference/api/pandas.read_sql_query.html#pandas.read_sql_query ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 Instagram: https://www.instagram.com/campusx.official E-mail us at support@campusx.in
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