TensorFlow2.0_MachineLearning_Ai-

TensorFlow 2.0 Machine learning and Neural Networks

Machine learning and Artifical intellegence

Neural Networks:

"A form of machine learning that uses a layed representation of data"

Screenshots

Multi-Layer Neural Networks

Types of Machine Learning

There are three Types of Machine Learning

supervised Learning
un-supervised Learning
Reinforcement Learning

Machine Learning Algos

linear Regression
Classification
Hidden Markov Model

##Tools

Numpy:

NumPy is a library for the Python programming language, 
adding support for large, multi-dimensional arrays and matrices,
along with a large collection of high-level mathematical functions to operate 
on these arrays.The ancestor of NumPy,  ### Pandas:
Pandas is data analytics tools, it allows us to manipulate data sets. ### Matplotlib:
Matplotlib is used for visualations for graphs and charts

## Clustering: “ Clustering is a machine leaning technique that involes the grouping of data points and tell you locations of that data points “

Basic Algorithm for K-Means.

-Step 1: Randomly pick K points to place K centroids
-Step 2: Assign all the data points to the centroids by distance. The closest centroid to a point is the one it is assigned to.
-Step 3: Average all the points belonging to each centroid to find the middle of those clusters (center of mass). 
         Place the corresponding centroids into that position.
-Step 4: Reassign every point once again to the closest centroid.
-Step 5: Repeat steps 3-4 until no point changes which centroid it belongs to.   ### More details about Clustering    [![More details about Clustering](https://img.shields.io/badge/link-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://towardsdatascience.com/the-5-clustering-algorithms-data-scientists-need-to-know-a36d136ef68)