What is Machine Learning?
- As the name suggests , it is the learning of machines . Here we train the machines with required data and expect it to complete the work.
How we train the machine and few methods?
- There are many ways to train the machine , here will take an example of python.
- We can use Jupyter Notebook which is a tool which is usually used to store and keep different datas which we have . It uses python for coding & markdown to write notes .
- We pass train-test-split method , to get the trained dataset. To keep the data same , we use random_state . Similarly there are many other inbuilt methods in this notebook .
- We use Fit to actually train the model and use score to compare 2 datasets .
- We use predict to predict any data based on the input data which computer will consider while giving the answer.
Challenges we ran into
- Major challenge for beginners is to install the notebook and all the libraries we need to import in juypter notebook .
- If the user doesnt have the knowledge of command prompt then it becomes too difficult for him to install the notebook as well as the libraries.
Accomplishments that we're proud of
- I learnt about ML dataset and also had made a small project on it , Thanks to MLH INIT hackathon for keeping great challenges and to make aware of the technologies we had no idea about!!
What's next for Machine Learning
- ML is a vast subject with many branches. Neuro ML is very interesting to explore as it teaches on how we train the machines , and what do they take as input when we pass any information .
- How to detect someone's face , to clear any image using sound are also a part of machine learning which we must consider while exploring.
Log in or sign up for Devpost to join the conversation.