Machine learning offers an abundance of data to learn from and run models. If you are planning to start a career or shift to this lucrative industry, the best way is to get hands-on experience and develop a project. Here are some top machine learning projects to help you kick start your ML journey.
Movie Recommendations
How our OTT profiles recommend the right content
- These recommendations are based on individual viewers’ history and preferences and are made using ML algorithms
- Figuring out the next movie recommendation is a fun project for beginners who can code in Python or R, depending on their programming language preferences
Converting Handwritten Documents into Digital Files
Also known as the offline Handwritten Text Recognition (HTR) system, this algorithm can transcribe the text in scanned images into digital text.
- To build this algorithm, one would need Python, TensorFlow, NumPy, OpenCV, and OpenCV.
Loan Prediction
Beginners can use Python to build simple ML projects for loan prediction
Wine Quality Predictions
The taste of wine is acquired over time, so how do we know if one is good or not in the absence of a wine expert?
- Machine learning to the rescue
- Beginners can use the R programming language to build an ML model to predict the quality of wine with the help of available datasets
Fake News Detection
The fake news detection model will introduce programmers to the concept of text classification
Sorting Tweets on Twitter
This beginner-level ML project allows programmers to create an algorithm that can scrape tweets using a natural language processor
- The algorithm can determine tweets matching specific themes, keywords, or individuals
- Using a sentiment analysis with a text mining algorithm will thus allow one to filter tweets quickly and seamlessly
