Name | Data Science Certification Program |
Course Provider | CloudxLab |
Type | Certification |
Courses | 5 |
Duration | 270 Days; 330 Days |
Avg. Rating | 5 |
Price | INR 8999; INR 9999 |
Coupon Code | FR25 |
Apply | Click 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.
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