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Workflow of machine learning projects

Workflow of Machine Learning Projects

This Workflow can guide you through your Machine Learning Projects. There are eight main steps: Frame the problem and look at the big picture. Get the data. Explore the data to get insights. Prepare the…

Understanding a Neural Network

What is a Neural Network Neural Network is a computational algorithm that is used in creating deep learning models for predictions and classifications. It is based on self-learning and training, rather than being explicitly programmed.…

feature engineering

Feature Engineering in Machine Learning

In the real world, data rarely comes in perfect form. With this in mind, one of the more critical steps in using machine learning in practice is Feature Engineering, that is, taking whatever information you have…

19 Machine Learning Interview Questions

Machine Learning interview questions are an essential part of an interview as a Data Scientist. Here I have created a set of Machine Learning interview question with there answers along. With these questions and solutions,…

Data Visualization with Seaborn

Before learning Seaborn, you should know that matplotlib has proven to be an incredibly useful and popular visualization tool, but even avid users will admit it often leaves much to be desired. There are several…

Main Challenges of Machine Learning

I have covered a lot of ground so far, and you now know that Machine Learning is really about, why it is useful, what some of the most common categories of Machine Learning systems are,…

Linear Regression Model

Let’s train and run a Linear regression model to make Predictions, In this article, I will load the data, prepare it, create a scatter plot for visualization, and then train a linear regression model to…

Introduction to Machine Learning

When most people hear Machine Learning, they picture a robot, a dependable butler or a deadly Terminator, depending on who you ask. But Machine Learning is not just a futuristic fantasy; it’s already here. It has…

Time Series Analysis and Forecasting with Python

Time Series Analysis carries methods to research time-series statistics to extract statistical features from the data. Time Series Forecasting is used in training a Machine learning model to predict future values with the usage of historical importance. Time Series Analysis is broadly speaking used in training machine learning models for the Economy, Weather forecasting, stock price prediction, and additionally in Sales forecasting. It can be said that Time Series Analysis is widely used in facts based on…

Generate Interactive Maps using Folium in Python

Using the Folium Library in Python we can easily Plot Geographical data on a Map. Your analysis will be much more valuable if you visualized them the right way. A perfectly visualized data helps in…

How to get a job in Data Science

If you know enough statistics, programming especially python, Machine Learning, etc, one thing you should know that still getting a job in Data Science is a difficult task. Some people may have the best skill…

Image Processing with Machine Learning and Python

Using the HOG features of Machine Learning, we can build up a simple facial detection algorithm with any Image processing estimator, here we will use a linear support vector machine, and it’s steps are as…

Bar Chart Race Tutorial

In this article, you’ll learn how to create a bar chart race animation such as the one above using the matplotlib data visualization library in python. Bar chart races have been around for quite some…

Google Play Store Data Analysis with Python

The Google Play Store apps data analysis provides enough potential to drive apps making businesses to succeed. Actionable stats can be drawn for developers to work on and capture the Android market. The data set…

Space Exploration with Machine Learning

Spacecraft and satellites operating in deep space can generate huge amounts of data due to the complexity of their research missions. Because of the different rotations and orbits of their host planets, these massive data…