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Data Visualization

Basic concepts for forecasting models in machine learning with example

Bunch of time series terms. A photo by Author

In this article, we will discuss time series concepts with machine learning examples that deal with the time component in the data.

Forecasting is so much important in the banking sector, weather, population prediction, and many more that directly deals with real-life problems.

Time series models are based on a…

Data Science

A robust method to make data ready for machine learning estimators

Data Preprocessing Methods. A photo by Author

In this article, we will study some important data preprocessing methods. It is a very important step to visualize the data and make it in a suitable form so that the estimators (algorithm) fit well with good accuracy.

Topics to be covered:

  1. Standardization
  2. Scaling with sparse data and outliers
  3. Normalization
  4. Categorical Encoding
  5. Imputation

Standardization

Careers

Valuable contributions to their businesses and societies at large

Photo by Towfiqu barbhuiya on Unsplash

Why Everybody is learning Data Science?

The position of the data scientist is now a buzzworthy career. It has staying power in the market and gives possibilities for folks that observe statistics technological know-how to make valuable contributions to their businesses and societies at large.

The biggest organizations in the…

Programming

Low-level and high-level access in-network programming

Photo by Elena Mozhvilo on Unsplash

Introduction

We know that the Python program has a lot of uses, like data analysis, data visualization, AI, Machine learning, etc. But what if we want to download files from a definite URL, interact with remote systems or send password-protected resources through a network using python?

This is where Network…

Discrete and continuous probability distribution

Photo by Naser Tamimi on Unsplash

Introduction

Let us understand what probability distribution means before moving to the continuous distributions.

The term probability distributions describe the random process (any phenomenon) in terms of probabilities.

The Probability distributions are of two types

  1. Discrete
  2. Continuous

Here, we will be discussing some Continuous probability distributions and how to use…

Amit Chauhan

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