Data Scientists discover trends from the data that can alter the future trajectory of a company; they help decision makers gather and gain insights based on the past. Data Science is becoming mission-critical for businesses and the demand for data scientists has been on a steady upslope. In short, they're the future of business decision-making, and they're desperately in demand. The curriculum is designed by taking inputs from industry and aims to develop skills required to land in Data Science
You can post your doubts on the Q&A forum which will be answered by the teachers within 24 hours.
In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis.
The objective of this Case is Predication of bike rental count on daily based on the environmental and seasonal settings
In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis.
Each consumer behavior research project may have its own challenges and. approach. ... If the aim is more to get an overview and not explore. in-depth ... EDA is used as a measure to study emotional reaction.
The objective of this project is to build a predictive machine learning model to predict based on diagnostic measurements whether a patient has diabetes. This is a binary (2-class) classification project with supervised learning.
Analyze the Fifa Dataset to predict the World's Best Playing !! FIFA dataset.
In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis.
In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis.
In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis.
In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis.
In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis.
The proposed system offers student performance prediction through the rules generated via data mining technique. The data mining technique used in this project is classification, which classifies the students based on students' grade.
This algorithm was used for classification in this churn predictive model. ... Customer churn prediction in telecom using machine learning in big data platform.
In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis.
After selecting products through the Instacart app, personal shoppers review your order and do the in-store shopping and delivery for you. ... Currently they use transactional data to develop models that predict which products a user will buy again, try for the first time, or add to their cart next during a session.
Classifying whether the tweet is either positive or negative
Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. They have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers.
Predict if an applicant is 'good' or 'bad' client to approve his credit card
Predict whether or not a customer will purchase a bike.
Identify whether a person is suffering from liver disease or not.
Predicting retention of an employee within an organization such that whether the employee will leave the company or continue with it. It uses the data of previous employees who have worked for the company and by finding a pattern it predicts the retention in the form of yes or no.
Classification of news as fake or not
The aim of this project was to estimate the price of the mobile by its features like ram,internal memory etc.. we don't need to find the actual price but a range price is predicted.
To check the quality of air using ‘Air Quality Chemical Multisensor Device’ by finding the R^2 score and coefficient of regression using different regression models and the best model is selected to evaluate the Air Quality.
"The problem is to predict whether or not a customer will subscribe to the term deposit of Portuguese banking institution by considering his/her details. So that, the campaigning efficiency is increased in terms of cost and time. "
Predicting online recruitment frauds by classifying real and fake job posting
"Predict the burned area based on features like temperature, humidity, rain, wind. Depending on previous weather conditions predict the fire hazard level of a day."
Classification of Gender from names
"Analysis of Bank Notes Authentication System using classification methodologies"
Identify students who might need early intervention before they fail to graduate.
To predict gender based upon acoustic properties of the voice and speech features.
Determine each applicant's chance of admission based on their results on two exams whether a student will get an admit or not.
Identify whether a given piece of file/software is a malware to protect a computer
"Predict whether a DonorsChoose project proposal submitted by a teacher will be approved, using the text of descriptions and other features"
Predict the department-wise sales for each store based on historical data
An experienced trainer with 11+ years of experience having trained more than 25000+ students in various technology courses.
Experienced Information Technology Project Manager with a demonstrated history of working in the information technology and services industry. Skilled in C++, PL/SQL, .NET Framework, Transact-SQL (T-SQL), ASP.NET. and Python. Strong program and project management professional with a Bachelor of Technology - BTech focused in Electrical, Electronics and Communications Engineering from Lord's Institute Of Engineering And Technology.
4.6 / 5.0
A good start for getting into DS
better internship DS
a good platform for
Good
good
they will take care for every student
they supported a lot
teaching skills is excellent
good platform to learn
Learnt a lot Thank you
Good
it very usefull for me
Good Internship.
learned a lot thankyou
I learned lot
better internship
teaching skills was good
learned a lot
very good
Perfect internship period.
Excellent
good
Excellent
Good internship program for students
Internship was very good and it helped me learn new programming skills...
good
Internship was very good and it helped me learn new programming skills...
It was a good experience and will suggest for other people who are interested in python with particular specification
Very good
teaching skills was very excellent
Good
Perfect internship period.
Its very usefull
teaching was very good
Very good support
Yes, anyone who is passionate about learning Machine Learning can enroll in this program. We encourage learners from diverse backgrounds. To enable this, we provide support and supervised learning to our learners.
Our Learning Management System assists you in revisiting crucial topics and prep for quizzes and tests.Get access to recorded lectures and revisit them later at your own convenience.Get access to recorded lectures and revisit them later at your own convenience.
Yes, this course covers Python ? the most popular tool for Data Science and Machine Learning jobs. You will start with Python programming fundamentals and then learn all the Data Science concepts with Python. You will work on multiple Python Data Science projects to learn how data scientists solve real-business problems with Python. You will become a Python expert by the end of the course.
Through rigorous exercises, hands-on in-class practice projects and a personalized project, this program will prepare you to start your career in Data Analytics at A-list firms and startups.
Of course! You?re assigned a dedicated program mentor who not only supports you but also guides you on the most suitable career path. Throughout the course, your program mentor will encourage you to finish projects, engage in classes and get the most out of this course.
We value hands-on, experiential learning and impart the same using our cutting-edge curriculum and guidance. You get involved in discussions during live lectures, learn applications through rigorous hands-on exercises, and resolve your queries with the faculty. It provides a highly interactive learning environment where you learn from the faculty, mentor, as well as your peers.
You will get recordings of the lectures to review at your own convenience. You will also have access to student notes, practice projects, additional study material and quizzes on our fully-integrated online learning portal.
A career in Data Science presents well-paying jobs. According to Glassdoor, Data Scientists make an average of $116,100 a year. This makes Data Science a highly lucrative career option for beginners and professionals alike.
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