Python Artificial Intelligence Libraries
Hi! I will mention the most popular machine learning and artificial intelligence libraries on Python.
NumPy
Actually, NumPy is a math library and we need many math functions and we use NumPy for them. For example, you convert the list to arrays, you do linear regression models, scale, etc. I think NumPy and Pandas are fundamental.
Pandas
We use pandas to make changes to data sets. We define, read, change, delete, select, etc. datasets with pandas. Also, you can complete the empty values on the dataset.
Scikit-Learn
Scikit-Learn is a machine learning library. You can encode, Linear regression, decision tree, etc. It is easy and fast. Therefore you should import this to your project. I am sure you will need them somewhere.
Matplotlib
Matplotlib is a visualization library. You can see your database on the graphic, you can see the accuracy and the loss value of your model. Also, you can control the colors and the names of the graphics. Matplotlib has many functions therefore you can do what you want about graphics.
TensorFlow
TensorFlow is a deep learning library. You can do machine learning, CNN, RNN, etc. Tensorflow was written by Google. TensorFlow does the main functions on the model. You can add a hiden layer, chance of the optimization algorithm, base value, learning rate, epoch step, etc. You can watch the model and evaluate your model. It is the most important library in your project(I think like this).
I know we can reach more of these libraries on the web. But I explained the most necessary libraries. Byeeee
Have you ever used one of these? You can add comment.
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