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Data Analytics and Visualization libraries

Getting introduced to data analytics libraries in Python and R.

To implement the Simple Linear regression model in machine learning using Python

Simple Linear Regression is a type of Regression algorithm that models the relationship between a dependent variable and a single independent variable

To implement the Simple Multiple Linear regression model in machine learning using Python

Time series analysis is a powerful statistical method that examines data points collected at regular intervals to uncover underlying patterns and trends

To implement the Time Series Analysis in machine learning using Python

Simple Linear Regression is a type of Regression algorithm that models the relationship between a dependent variable and a single independent variable

To implement ARIMA model in machine learning using Python

AutoRegressive Integrated Moving Average(ARIMA) is a time series forecasting model that incorporates autocorrelation measures to model temporal structures within the time series data to predict future values.

To implement Sentiment analysis in python

Sentiment Analysis is a use case of Natural Language Processing (NLP) and comes under the category of text classification

To implement data visualization using R.

Data visualization is the technique used to deliver insights in data using visual cues such as graphs, charts, maps, and many others.

To implement data visualization of dataset using python.

Data visualizations allow humans to explore data in many different ways and see patterns and insights that would not be possible when looking at the raw form. Humans crave narrative and visualizations allow us to pull a story out of our stores of data.

Deploy a Machine Learning Model using Streamlit Library.

Streamlit allows us to create apps for our machine-learning project with simple Python scripts.

Deploy Machine Learning Model in Django Project

Django is a high-level Python framework for creating scalable and robust web applications. In Python, this is the most widely used framework. It adheres to the MVT (Model-View- Template) design pattern.Machine