Coding Projects

7 Beginner Machine Learning Projects To Complete This Weekend 📊 1. Predicting Titanic Survival Predict who survived using age, gender & class. Learn data cleaning + logistic regression basics. Click here 📈 2. Predicting Stock Prices Forecast stock trends with ARIMA or LSTM. Practice feature engineering & MSE evaluation. click here 📧 3. Email Spam Classifier Build an NLP model to detect spam. Use TF-IDF + Naive Bayes/SVM for accuracy. Click here 🔢 4. Handwritten Digit Recognition Train a CNN on MNIST to identify digits (0–9). Explore image preprocessing & deep learning. Click here 🎬 5. Movie Recommendation System Suggest movies using collaborative filtering (SVD) & MovieLens dataset. Measure with RMSE. Click here 🔄 6. Customer Churn Prediction Find which customers may leave. Handle imbalanced data & use logistic regression/random forest. Click here 👤 7. Face Detection Use OpenCV Haar cascades to detect faces in images/videos. Learn filtering & edge detection. Find here

👆40 Project Ideas For Web Developers

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Deep Learning Project Ideas

Coding is tricky. Coding in interviews feels even harder. It’s intimidating, uncertain and hard to prepare. Here are 4 ways to do it! 1. Interview Cake: I think it is some of the best prep available and it is targeted toward weaknesses many data scientists have in algorithms and data structures: https://www.interviewcake.com/ 2. Leetcode: While developed for software engineering interviews, it has a LOT of useful content for learning algorithms. For data science, I'd suggest focusing on Easy/Medium: https://leetcode.com/ 3. Cracking the Coding Interview: Amazing book, sometimes referred to as CTCI. A classic and one you should have: https://cin.ufpe.br/~fbma/Crack/Cracking%20the%20Coding%20Interview%20189%20Programming%20Questions%20and%20Solutions.pdf 4. Daily Coding Problem: The book and the website are awesome. Work on a daily problem. This was my go to resource for when I was looking to stay sharp: https://www.dailycodingproblem.com/

5 Python Projects for Beginners 👆

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Random Module in Python 👆

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Python Code to remove Image Background —————————————————————- from rembg import remove from PIL import Image image_path = 'Image Name' ## ---> Change to Image name output_image = 'ImageNew' ## ---> Change to new name your image input = Image.open(image_path) output = remove(input) output.save(output_image)

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Python Project Ideas 👆

Data Science Essential Libraries ✅

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📖 SQL aggregate functions

Important skills every self-taught developer should master: 💻 HTML, CSS & JavaScript — the foundation of web development ⚙️ Git & GitHub — track changes and collaborate effectively 🧠 Problem-solving — break down and debug complex issues 🗄️ Basic SQL — manage and query data efficiently 🧩 APIs — fetch and use data from external sources 🧱 Frameworks — like React, Flask, or Django to build faster 🧼 Clean Code — write readable, maintainable code 📦 Package Managers — like npm or pip for managing libraries 🚀 Deployment — host your projects for the world to see Web Development Resources: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z

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