Internship On Machine Learning With Python

This course helps the enrolled people in getting their dream jobs in roles of Data Analyst and Machine learning roles.

What you'll learn

Data Science is the upcoming technology which will enable the people to do their job in a secured manner. The main challenge faced is with selection.

The main available challenge known as selection is sorted with the help of a technology known as Machine Learning which acts as a foundation of Data Science.

The agenda of Machine Learning Scientist is to cluster the available resources in order to meet the requirements of client without deviating the limits

This course will lay proper foundation by providing the working knowledge for the roles of Machine Learning Scientist, Data Analyst, Machine Learning Engineer.

A Machine Learning scientist should not breach the data which was under the protection of company and should protest if it was found stolen

This course will give complete knowledge on the domain of Machine Learning by explaining its roles and responsibilities with practical implemetation in python.

Requirements

Python

Description

Data Science has three sub parts namely Machine Learning, Deep Learning and Natural Language Processing but in this program you will learn the concepts of Machine Learning to the fullest. Most of the courses neglect the key part which was essential in the professional life when they step inside the job namely Data Visualization. The neglected Data Visualization plays a major role in submitting the work done by a Machine Scientist , Data Analyst and Machine Learning Engineer in an effective way as the tasks done are not visible to the human eye so the work done should be to the clients, Investors and for Team Leads in such a way that they can view and understand what was done. There are four roles associated with this domain namely Data Analyst, Machine Learning Scientist as all of them has gained their own importance and made Data Science blooming as it is essential in all the available fields. Responsibilities varies from one field to the other which helps in getting the task completed in the required way. The main intention of Data visualization is to compute whether the requirement was satisfied or not because most of the tasks are not visible to the human eye where the data visualization finds its way. Data Science is termed as the head of Artificial Intelligence as it is the most essential tool in getting the work done without human interference.This course will give you an internship certificate along with course completion certificate.

Overview

Section 1: Introduction to the Machine Learning

Lecture 1 In this section you will get to know what you will learn through out this course

Section 2: Numpy

Lecture 2 Introduction to Numpy

Lecture 3 Matrix construction

Lecture 4 Matrix Operations

Lecture 5 Reshaping the shape of a matrix

Lecture 6 splitting, stacking and Matrix Multiplication

Lecture 7 Date and Time Operations using Numpy

Lecture 8 Implementation of Numpy on Alphabets

Section 3: Pandas

Lecture 9 Introduction to Pandas

Lecture 10 Basic operations of a Data Frame

Lecture 11 Data Frame Operations

Lecture 12 Dataframe concatenation and Pivot table Operations

Section 4: Matplotlib

Lecture 13 Line Plot

Lecture 14 Scatter Plot

Lecture 15 Bar Plot

Lecture 16 Histogram

Lecture 17 Box plot and Violin Plot

Lecture 18 Pie Plot

Section 5: Algorithms in Machine Learning

Lecture 19 simple Linear Regression

Lecture 20 Multiple Linear Regression

Lecture 21 Logistic Regression

Lecture 22 Principal Component Analysis or Dimensionality Reduction

Lecture 23 K - Means Clustering

Lecture 24 K - Neighbors Classifier

Lecture 25 SVM

Lecture 26 Random Forests

Lecture 27 Decision Trees

Lecture 28 Time Series Analysis

Students who are in their Bachelors and Masters can get enrolled in this course.,Along with the people who are looking for career change