Have you struggle for months trying to learn how to program, do you feel like giving up! Well don't because I am here to walk you through these concepts and get you up and running to start developing your own programs. By giving you all the fundamentals you need to own this skill. Grab your laptop and let's get started to learn how to code. This course will be though in Java.

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About me: - Quantum Machine Learning Researcher - Upcoming Intern at the Indian Space Research Organisation - Fluent in ML + DL + RL + Agentic AI + GANs Want to learn Data Science and Machine Learning but don't know where to start? My classes are designed for students, beginners, and aspiring developers who want to understand how Machine Learning works and how to implement it using Python. I focus on building strong fundamentals, explaining concepts intuitively, and connecting theoretical knowledge with practical applications. Topics covered: - Python for Data Science - NumPy and Pandas - Data cleaning and preprocessing - Exploratory Data Analysis (EDA) - Statistics and fundamentals of Data Science - Supervised Learning: Linear Regression, Logistic Regression and Classification - Decision Trees and Random Forests - Model training, evaluation and performance metrics - Overfitting, underfitting and model optimisation - Introduction to Unsupervised Learning and Clustering Whether you're a college student exploring Machine Learning, a beginner interested in AI, or someone looking to strengthen their Data Science foundations, these classes will help you develop a structured understanding of the subject. **No prior Machine Learning experience is required. Basic Python knowledge is helpful but not mandatory.**