Learn Machine Learning with Free Lessons & Tips

So, is Data Science/Machine Learning/AI overhyped right now? In short, no. While there is definitely a lot of hAnd while there are still some challenges to overcome, the hype is not unwarranted. These technologies are here to stay and the potential is only going to continue to grow.

Interesting Machine Learning Project Ideas For Beginners

1.Stock Prices Predictor
2.Sports Predictor
3.Develop A Sentiment Analyzer
4.Enhance Healthcare
5.Prepare ML Algorithms – From Scratch!
6.Develop A Neural Network That Can Read Handwriting
7.Movie Ticket Pricing System
8.Iris Flowers Classification ML Project
9.BigMart Sales Prediction ML Project
10.Recommendation Engines with MovieLens Dataset
11.Predicting Wine Quality using Wine Quality Dataset
12.MNIST Handwritten Digit Classification
13.Human Activity Recognition using Smartphone Dataset
14.Object Detection with Deep Learning
15.Fake News Detection…. and so on..

Machine learning is one of the most exciting technologies that one would have ever come across. As is evident from the name, it gives the computer that which makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.

Today, companies are using Machine Learning to improve business decisions, increase productivity, detect disease, forecast weather, and do many more things. With the exponential growth of technology, we not only need better tools to understand the data we currently have, but we also need to prepare ourselves for the data we will have. To achieve this goal we need to build intelligent machines. We can write a program to do simple things. But most of the time, Hardwiring Intelligence in it is difficult. The best way to do it is to have some way for machines to learn things themselves. A mechanism for learning – if a machine can learn from input then it does the hard work for us. This is where Machine Learning comes into action. Some of the most common examples are:

1.Image Recognition
2.Speech Recognition
3.Recommender Systems
4.Fraud Detection
5.Self Driving Cars
6.Medical Diagnosis
7.Stock Market Trading
8.Virtual Try On