Course Overview

MACHINE LEARNING WITH PYTHON

Overview

This course jumps into the fundamentals of AI utilizing a approachable, and notable programming language, Python. In this course, we will audit two fundamental segments: To start with, you will find out about the reason for Machine Learning and where it applies to this present reality. Second, you will get an overall view of Machine Learning topics, for example, supervised versus unsupervised learning, model assessment, and Machine Learning calculations.

In this course, you practice with genuine instances of Machine learning and perceive how it influences society in manners you might not have speculated!

By simply placing in a couple of hours seven days for the following not many weeks, this is the thing that you'll get.

1) New skills to add to your resume, for example, relapse, grouping, bunching, sci-unit learn and SciPy

2) New tasks that you can add to your portfolio, including foreseeing financial patterns, anticipating client agitate, suggestion motors, and some more.

Is python good for machine learning?

Python is quickly becoming the top choice among developers for artificial intelligence (AI), machine learning, and deep learning projects. AI has created a world of opportunities for application developers.

In todays world machine learning only does make a computer to perform a task programming without any confusion .In this day and age each framework that does well has an machine learning algorithim. Take for instance Amazon product proposals, LinkedIn, Facebook ,Google Search motor,and so on, every one of these frameworks have machine learning algorithm implanted in their frameworks in a single structure or the other. They are effectively using information gathered from different channels which encourages them get a greater image of what they are doing and what they ought to do.

Python is a majorly used high level programming language for universally useful programming. Aside from being open source programming language, python is an incredible item situated, deciphered, and intractive programming language. Python joins power with clear syntax. It has modules, classes, exemptions, elevated level powerful information types, and dynamic composing. There are interfaces to numerous framework calls and libraries, just as to different windowing frameworks. New underlying modules are effectively written in C or C++ (or different dialects, contingent upon the picked usage). Python is additionally usable as an expansion language for applications written in different dialects that need simple to-utilize scripting or automation interface

Pre Requisites

You must be comfortable with variables, linear equations, graphs of functions, histograms, and statistical means.

You should be a good programmer. Ideally, you should have some experience programming in Python because the programming exercises are in Python.

Is it useful to.

Online Training Key Features

Lifetime Access

You get lifetime access to the Learning Management System (LMS) where presentations, assignments, and installation guide on Workday Certification Training.

Assignments

Trainers will assign some assignments soon after the completion of each and every topic that makes you master in the course and also helps you to clear Workday Certification.

Real-life Case Studies

Meritstep trainers teach you each and every topic with real-world case studies that makes the learner understand in a better way.

24 x 7 Support

Meritstep trainers teach you each and every topic with real-world case studies that makes the learner understand in a better way.

Course Curriculum

Module 1: Installation of jupyter Notebook Setup with Python (AI Development Environment)

What Is Artificial Intelligence
Level Of product
Introduction Of Machine Learning
Types of Data Analytics
Introduction To Statistics
Application Of Machine Learning
Machine Learning Cloud Platforms
Objective Of Machine Learning Algorithm
Introduction of Deep Learning
Machine Learning VS Deep Learning
Application of Deep Learning.
Introduction to Data Science
Introduction to Data Analytics
Difference Between Data Science and Business Intelligence
Turing Test
History of Data Science
Important Scientists to follow in the field of Machine Learning
Why do we care about Data Science?

Module 2: Hands on practice on Python Programming Language

History Python 2 vs python 3
Data Types and Data Structure with Python
Methods and Functions in Python
Object Oriented Programming In python.
Python fundamentals and required libraries for the course
Functions from numpy, matplotlib, scikit-learn and various other libraries
Graph and Images in python
Data Analysis
Hands on practice with Salaries Dataset
Statistical Analysis
Data Visualization with Seaborn and Pyplot
Hands on Practice with Ariflight Dataset.

Module 3: Linear Regression

What Is Linear Regression?
Univariate Linear Regression
Hands on practice with Salary Dataset
Gradient Descent Algorithm
Linear Regression Use Cases
Objectives of Linear Regression
Multivariate Linear Regression
One Hot Encoding and Dummy Variable
Gradient Descent with Multiple Variable
Hands On practice with Startup Funding Dataset
Polynomial Regression
Hands On practice with 50 Startup Dataset
Linear Regression Assumptions

Module 4: Logistic Regression

What Is Logistic Regression?
Logistic Regression Features
Objective of Logistic Regression
Activation Functions:
1. Sigmoid Function
2. Softmax Function

Model Evaluation
Confusion Matrix
1. True Positive and True Negative
2. False Positive , False Negative
3. Accuracy, Precision
4. Recall, F1-Score

Over Fitting & Generalisation
Hands On practice with Bank Marketing Dataset
Hands On practice with Social Network Advertisement Dataset

Module 5: Decision Tree

Decision Tree Introduction
Classification Tree
ID3 Algorithm
1. Entropy
2. Information Gain

CART algorithm
1. Gini Index
2. Gini Impurity

C4.5 Algorithm
Chi-Square Algorithm
Regression Tree
CART Algorithm
1. Variance

Advantages and Disadvantages of Decision Tree
Hands on Practice of Decision Tree with Breast Cancer Dataset
Hands on Practice of Decision Tree with Social Network Advertise Dataset
Using the Decision Tree Algorithm for analysing a real-life dataset

Module 6: Random Forest

What is Bagging?
How Random Forest Algorithm is a very major upgrade from Decision Tree?
How does Random Forest handle Missing Data?
Random Forest as Classifier
Random Forest as Regressor.
Random Forest Algorithm using SciKit Learn Library. Calculation of Accuracy and F1 Score
Comparing Results of Decision Tree and Random Forest Algorithms for
Breast-Cancer Dataset.

Module 7: Artificial Neural Network

What is an Artificial Neural Network?
Introduction to Neurons
Single Neuron Model
Activations Functions:
1. Sigmoid
2. Softmax
3. Relu
4. Leaky Relu Functions

Neural Network Architecture
Types of Neural Network
Application, Advantages and Limitations
Hands on practice of Artificial Neural Network with Churn Modelling Dataset.

Module 8: Support Vector Machines

What are Convex Hulls?
What is a hyperplane?
What is weight and bias?
Why is SVM is one of the best classification algorithms till date?
Support Vector Machine Algorithm Derivation.
A discussion on techniques to apply support vector classification on linearly
inseparable datasets. (using Kernels or increasing the dimensionality of the dataset)

LIVE ONLINE TRAINING

Get Schedule

CORPORATE TRAINING

Explore Business Plans

09-10-2023

Enroll Now

Program Fees

Don't find suitable time ?

Request Schedule

$589 USD. $355 USD.

Enroll Now

$259 USD. $129 USD.

Add to Cart

Self Learning course includes

Contact Info

Student Reviews

Reviews

4.9/5

★★★★★ ★★★★★

80%

20%

Lilly Potter

Web developer student

Thank You for the sessions that helped me gaining knowledge in Spotfire training. Trainer's experience helped me to get the detailed information regarding the key concepts and challenging tasks in real-time. Thanks once again.

John Joya

ServiceNow Developer

Perfect sessions to know all the key concepts of ServiceNow training. Thanks to the support team as well. Thanks to Meritstep Techmologies.

Rebacca wisely

Student

Well-structured course and the instructor is very Experienced. He has an exceptional Knowledge on Ab Initio and clears our doubts instantly and he makes sure that all the Students understands clearly.

williamson

Tableau training

It was a very good experience to learn Tableau from MeritstepTechnologies. Faculty members are very knowledgeable and cooperative.all together it was an enlightening and informative course.

Shaley

Mulesoft student

I have been searching for Mulesoft training and i found the best demo from this Meritstep and as I liked the demo session exactly all the sessions were soo satisfying and were provided in real-time with the trainer. Thanks for the knowledge given and now I got the project

David jhon

developer

Excellent, the remote training was conducted very well. There was much more interaction than one could expect in a face to face session with such a large group of around 20 learners. Excellent experience with the trainer. Our understanding was his CLOCK. Amazing trainer, go for him!! Excellent!!

pooja pandit

.NET Student

It was a wonderful experience to learn .NET Training from the Meritstep. The trainer has taught me all the VB.NET Concepts and took me to the next level. I truly thank Meritstep Technologies

Seba Jacob

tableau developer

Perfect place to learn Oracle Financials India Localization Online Training, very helpful to my career. The course content is good and informative. I suggest Meritstep Technologies would be the best institute to take Oracle Financials India Localization Course.

Jackie Garcia

salesforce marketing cloud

Meritstep technologies is the best salesforce marketing cloud India Localization online training center. Friendly Faculty. Trainers will Train you according to your ability. I Recommend Meritstep {SFMC} India Localization training with my Experience.

mallesh goud

AWS Developer

Excellent online training institute.clear and in depth concepts in AWS, real time examples

Asif Ali

tech consultant

I am a Consultant and I wanted to learn Hadoop. I searched so far many institute and later I found Meritstep technologies. Its a good learning Experience. The trainer is very good and the explanation of subject is simply Exceptional

naazma

power bi student

The Trainer was a master of all the concepts in Power BI training. Great to learn at Meritstep technologies.

Mark Alvin

Sap Developer

I took my online training for SAP PSCD from Meritstep. I must say the course content was highly reliable and the trainer covered even the slightest of concept. Overall it was a good experience with Meritstep technologies.

Rachael

Oracle Developer

I am really happy with the training I got from Meritstep technologies in Oracle GoldenGate because of the trainer's very rich and powerful knowledge of the subject. I am able to grasp the concepts very easily because of the highly interactive and well-presented sessions. I would highly recommend Meritstep for online IT training.

Nisha Guptha

Tableau student

Good Quality training with Real time experience trainers and hands on experience training.

Ron weasly

AWS DEVELOPER

Awesome response time to query resolution. Thanking you for resolving all my issues and helping me realise the tough concepts through the highly insightful videos. Thank You Meritstep technologies.

Sriya

Testing

I was beginner to integration, looking for Gradle course finally reached Meritstep. Training was great learning experience and good service by team. Thank you!

Neha Sankeerthana

selenium student

The most practical and easy way to learn selenium covering all topics and overall good experience, It is a very well documented course for beginners. Everything is so well explained. I liked the format and material. This course is awesome, I'm really happy to have found the Meritstep technologies Selenium Certification training course.

Luna lougod

SEO Specialist

This was the first time I opted for online training in SEO and I was completely blown away by the training I got from Meritstep. The training program was very well organised and all the required contents were covered in a proper manner. This training had given me tremendous confidence to secure a job in the SEO domain. I really appreciate this training from Meritstep technologies.

Cedric diggory

software developer

I'm software developer who got trained for Service Desk Analyst to manage projects. I'm very much satisfied with the sessions. Thank You Meritstep technologies.

Like reviews..? Enroll Now

Earn a certificate when you complete a course

Enroll Now

Machine Learning with Python Training

3

40

10

Course Overview

Online Training Key Features

Lifetime Access

Assignments

Real-life Case Studies

24 x 7 Support

Course Curriculum

Online Training - Upcoming Batches

27-09-2023

29-09-2023

02-10-2023

04-10-2023

06-10-2023

09-10-2023

Program Fees

Don't find suitable time ?

$589 USD. $355 USD.

Self Learning course includes

Request a Free Demo

Courses

Contact Info

flat No.101 Madhura enclave, chandhra reddy nagar, Tarnaka.

Student Reviews

Reviews

4.9/5

Lilly Potter

John Joya

Rebacca wisely

williamson

Shaley

David jhon

pooja pandit

Seba Jacob

Jackie Garcia

mallesh goud

Asif Ali

naazma

Mark Alvin

Rachael

Nisha Guptha

Ron weasly

Sriya

Neha Sankeerthana

Luna lougod

Cedric diggory

Like reviews..? Enroll Now

Get a certificate when you complete a course

Related Courses

Blue Prism Training

(1.2) | 2.1 Learners

SAP LUMIRA

(0.54) | 1.3 Learners

Workday Finance Training

(0.73) | 2.4 Learners

Workday Studio Integration and Implementation Training

(0.48) | 0.9k Learners

Workday Payroll Training

(0.33) | 0.6 Learners

Workday Compensation Training

(0.29) | 0.46 Learners

Workday Benefits Training

(98) | 0.324 Learners

SAP MM Training

(0.65) | 1.2k Learners

Blockchain

(0.67) | 0.78 Learners

Mulesoft Developer Training

(1.1) | 1.8k Learners

Angular JS Training

(0.82) | 1.8 Learners

Azure Administration Training

(1.0) | 2.3 Learners

Machine Learning with Python Training

(0.35) | 0.84 Learners

SAP HANA Training

(0.56) | 1.1 Learners