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Learn Python, NumPy, Pandas, Scikit-learn, HDFS, ZooKeeper, Hive, HBase, NoSQL, Oozie, Flume, Sqoop, Spark, Spark RDD, Spark Streaming, Kafka, SparkR, SparkSQL, MLlib, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow 2, Keras, Convolutional & Recurrent Neural Networks, Autoencoders, Reinforcement Learning and More
This Data Science Certification Program is a self-paced online course. This gives you complete freedom about your schedule and convenience.
This course has over 220+ hours of learning. This consists of 5 courses (Big Data with Hadoop, Big Data with Spark, Python, Machine Learning, and Deep Learning).
Additionally, this course comes with our exclusive lab access to gain the much needed hands-on experience to solve the real-world problems.
Upon successfully completing the course, you will get the certificate from CloudxLab which you can use for progressing in your career and finding better opportunities.
Process the NYSE (New York Stock Exchange) data using Hive for various insights.
Sentiment analysis of "Iron Man 3" movie using Hive and visualizing the sentiment data using BI tools such as Tableau
Analyze MovieLens data using Hive
Generate movie recommendations using Spark MLlib
Derive the importance of various handles at Twitter using Spark GraphX
Churn the logs of NASA Kennedy Space Center WWW server using Spark to find out useful business and devops metrics
Write end-to-end Spark application starting from writing code on your local machine to deploying to the cluster
Real-time analytics dashboard for an e-commerce company using Apache Spark, Kafka, Spark Streaming, Node.js, Socket.IO and Highcharts
Churn the mail activity from various individuals in an open source project development team.
Build a model to predict the bikes demand given the past data.
Build a model that takes a noisy image as an input and outputs the clean image.
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.
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.
Classify images from the Fashion MNIST dataset using scikit-learn, and Python.
Learn how to deploy a machine learning model as a web application using the Flask framework.
Classify images from the Fashion MNIST dataset using Tensorflow 2, Matplotlib, and Python.
Learn how to train a neural network from scratch to classify data using TensorFlow 2, and how to use the weights of an already trained model to achieve classification to another set of data.
Create a custom loss function in Keras with TensorFlow 2 backend.
Learn how to access the pre-trained models(here we get pre-trained ResNet model) from Keras of TensorFlow 2 to classify images.
In this project, you will build a basic neural network to classify if a given image is of cat or not using transfer learning technique with Python and Keras.
Learn how to read a pre-trained TensorFlow model for object detection using OpenCV.
Use TensorFlow 2 to generate an image that is an artistic blend of a content image and style image using Neural Style Transfer.
Predict stock market closing prices for a firm using GRU, a state-of-art deep learning algorithm for sequential data, with Keras and Python.
Create a sentiment analysis model with the IMDB dataset using TensorFlow 2.
Learn how to practically implement the autoencoder, stacking an encoder and decoder using TensorFlow 2, and depict reconstructed output images by the autoencoder model using the Fashion MNIST dataset.
Learn how to deploy a deep learning model as a web application using the Flask framework.
Our course is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in Python.
The knowledge you have gained from working on projects, videos, quizzes, hands-on assessments and case studies gives you a competitive edge.
Highlight your skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.
If you are unhappy with the product for any reason, let us know within 7 days of purchasing or upgrading your account, and we'll cancel your account and issue a full refund. Please contact us at email@example.com to request a refund within the stipulated time. We will be sorry to see you go though!
Please log in at CloudxLab.com with your Gmail Id and access your course under "My Courses".
We have created a set of Guided Projects on our platform. You may complete these guided projects and earn the certificate for free. Check it out here
Have more questions? Please contact us at firstname.lastname@example.org