Saturday, May 16, 2020

CloudxLab Data Science Certification Program

NameData Science Certification Program
Course Provider    CloudxLab
Type Certification
Courses5
Duration270 Days; 330 Days
Avg. Rating5
PriceINR 8999; INR 9999
Coupon CodeFR25
ApplyClick Here

This consists of 5 courses (Big Data with Hadoop, Big Data with Spark, Python, Machine Learning, and Deep Learning). 

Additionally, this course comes with their exclusive lab access to gain the much needed hands-on experience to solve the real-world problems.

Upon successfully completing the course, person will get the certificate from E&ICT, IIT Roorkee which he can use for progressing in your career and finding better opportunities.

Projects

1. Analyze Emails

Churn the mail activity from various individuals in an open source project development team.

2. Predict the median housing prices in California

We start Machine Learning course with this end-to-end project. Learn various data manipulation, visualization and cleaning techniques using various libraries of Python like Pandas, Scikit-Learn and Matplotlib.

3. Classify handwritten digits in MNIST dataset

The MNIST dataset is considered as "Hello World!" of Machine Learning. Write your first classification logic. Starting with Binary Classification learn Multiclass, Multilabel, Multi-output classification and different error analysis techniques.

4. Noise removal from the images

Build a model that takes a noisy image as an input and outputs the clean image.

5. Predict the class of flower in IRIS dataset

IRIS dataset contains 3 classes of 50 instances each, where each class refers to a type of iris plant. The three classes in this dataset are Setosa, Versicolor, and Verginica. Learn Decision Trees, CART algorithm and Ensemble method. Then use Random Forest classifier to make predictions.

6. Predict which passengers survived in the Titanic shipwreck

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. In this project, you build a model to predict which passengers survived the tragedy.

7. Predict bikes rental demand

Build a model to predict the bikes demand given the past data.

8. Build a spam classifier

Build a model to classify email as spam or ham. First, download examples of spam and ham from Apache SpamAssassin’s public datasets and then train a model to classify email.

9. Build cats classifier using neural network

In this project, you will build a basic neural network to classify if a given image is of cat or not.

10. Classify large images using Inception v3

Download images of various animals and then download the latest pretrained Inception v3 model. Run the model to classify downloaded images and display the top five predictions for each image, along with the estimated probability.

11. Classify clothes using TensorFlow

Build a model to classify clothes into various categories in Fashion MNIST dataset.

12. Predict the hourly rain gauge total

This is a time series prediction task: you are given snapshots of polarimetric radar values and asked to predict the hourly rain gauge total.

13. Sentiment analysis

Sentiment analysis of "Iron Man 3" movie using Hive and visualizing the sentiment data using BI tools such as Tableau

14. Process the NSE

Process the NSE (National Stock Exchange) data using Hive for various insights

15. MovieLens Project

Analyze MovieLens data using Hive

16. Spark MLlib

Generate movie recommendations using Spark MLlib

17. Spark GraphX

Derive the importance of various handles at Twitter using Spark GraphX

18. Churn the logs

Churn the logs of NASA Kennedy Space Center WWW server using Spark to find out useful business and devops metrics

19. Spark application

Write end-to-end Spark application starting from writing code on your local machine to deploying to the cluster

20. Analytics Dashboard

Real-time analytics dashboard for an e-commerce company using Apache Spark, Kafka, Spark Streaming, Node.js, Socket.IO and Highcharts


FAQs

Question: What things do i need to fulfill to claim the certificate for Data Science Specialization?

Answer: You need to complete at least 60% of the topics from the course. You also need to complete projects - Analyse emails from Python, Sentiment Analysis (Hive) from Hadoop, Log Parsing from Spark, any 3 projects from Machine Learning and any 2 projects from Deep Learning. All the above requirements need to be met within 330 days from the course enrollment date to be eligible for the certificate.

Question: What are the prerequisites and requirements for this course?

Answer: This course is for engineers, product managers and anyone who wants to learn. We will cover foundations of linear algebra, calculus and statistical inference where ever required so that you can learn the concepts effectively.

0 Comments:

Post a Comment