Computer Science Projects | Machine Learning | Deep Learning Projects Free Downloads

By: Engineer's Planet

This page combines a list of rather moderate yet rather diverse projects to help you learn and gain ideas on how most of the ML and Deep Learning algorithms and methodologies can be applied in real world projects. Hence, our projects are easily feasible for any novice who looks for simple problems and are equally feasible for the learners who look for complex problems to solve.

This paper delivers detailed comparison of two players home run tendencies. It seeks to differentiate their natural hitting techniques. We want to provide valuable material for strategies of pitching also. Plan Aid defensive Planning.

1. A Comparative Study: Home Run Trends in the Major Leagues

Emphasizing such factors as age, sex, and field of expertise, this study focuses on demographic patterns in Nobel Prize winners. By means of data gathered over several decades, patterns seem to point to underlying forces engaged in Nobel laureates.

2. Patterns of Nobel Prize Winners: Analyzing Trends

3. Classifying Hip-Hop & Rock Music Using Machine Learning

This work uses machine learning to classify songs into "Hip-Hop" or "Rock" by analyzing audio features from The Echo Nest data, enhancing music recommendation systems' efficiency without human evaluation.

4. Cosmetic Product Analysis: Identifying Patterns in Ingredients

The study examines cosmetic products to identify component patterns and global market trends, analyzing diverse products to understand consumer preferences and industry practices.

5. Exploring the Myth of Shorter Lifespans for Left-Handed

This project challenges myths about left-handers' shorter lifespan, examining data and using Bayesian analysis. Results from a 1986 National Geographic survey highlight the impact of societal prejudices over mortality rates.

This article offers free, downloadable AI, Machine Learning, and Deep Learning projects, complete with documentation and source code. Ideal for all learners, these projects cover practical applications like image recog7nition and NLP. explore them & improve your resume