Python Machine Learning

40 videos to take you from bner to machine learning eeer

Learn meaning of variable and data types in Python

Learn to declare and initialize variable in Python

Converting string to integer and integer to string in Python

Create list in Python and appending to a list

Create Numpy array, one dimensional Array and to convert one dimensional Array to two dimensional Array

Write condition statement in Python

Learn to use loop for perfog iterating activity

Perform simple operations on dataset using Python

Understand meaning of Scikit learn, Pandas, Numpy and Matplotlib

Use Pandas to load dataset on Jupyter notebook

Visualizing data using Matplotlib

Analyze data using Pandas and Matplolib

Handling missing values using Pandas

Preprocessing of data using Pandas and scikit learn

Handling Duplicates using Pandas

Data conversion using Pandas

Converting dataframe to date

How to create a project and an application in Django

Important configuration for Django project

Learn the relationship between Views, URL and templates in Django

Understand meaning of machine learning and Predictive analytics

Feature selection in machine learning

Use train test split function to divide dataset into training and testing set

Train machine learning algorithm using training set

Use predictive analytics to discover the pattern and forecast the future

Measure accuracy of machine learning algorithm using cross validation

Make prediction using created model in machine learning

Create Django web application for deploying machine learning model

Learn to deploy machine learning model on Django web framework

Python Basics

Machine Learning Basics

Visual Studio code, Sublime Text Editor And Pycharm

Anaconda Navigator

Become Artificial Intelligence Eeer.

This is step by step course on how to create predictive model using machine learning. It covers Numpy, Pandas, Matplotlib, Scikit learn and Django and at the end predictive model is deployed on Django. Most of things machine learning bner do not know is how they can deploy a created model. How to put created model into application Training model and getting 80%, 85% or 90% accuracy does not matter. As Artificial Intelligence Eeer you should be able to put created model into application.

Actually, learning how to deploy predictive model created by machine learning is big win for you and is motivating effect towards improving, embracing and learning machine learning. They piece me off when I hear people saying Artificial Intelligence is not really. It is just theoretical study. Let's learn together how to deploy model, solve people's problems and change people's mind about Artificial Intelligence.

At the end of this course, you will become Artificial Intelligence by your ability to put created model into application and solve people's problems. Not only that you will be exposed to some few concepts of Django which is Python web framework and current trending web framework. By understanding Django, you will be able to deploy your previous created model you you could not in the previous .

Bner to Python

Bner to machine learning

Bner to Predictive Analytics

Bner to Data science

Bner to Artificial intelligence






DOWNLOAD
uploadgig.com


rapidgator.net


nitro.download