Principal Component Analysis in Python | Basics of Principle Component Analysis Explained | Edureka

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-prog... This Edureka session on Principal Component Analysis (PCA) will help you understand the concepts behind dimensionality reduction and how PCA can be used to deal with high dimensional data. Here’s a list of topics that will be covered in this session: 1. Need For Principal Component Analysis 2. What is PCA? 3. Step by step computation of PCA 4. Principal Component Analysis With Python Check out the Entire Machine Learning Playlist: https://bit.ly/2NG9tK4 Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV ---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬---------- 🔵Python Programming Certification: http://bit.ly/37rEsnA 🔵Python Certification Training for Data Science: http://bit.ly/2Gj6fux ---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦--------- 🔵Data Scientist Masters Program: http://bit.ly/2t1snGM 🔵Machine Learning Engineer Masters Program: https://bit.ly/3Hi1sXN ----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦--------- 🌕Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy NIT Warangal: https://bit.ly/3qdRRdw Instagram:   / edureka_learning   Facebook:   / edurekain   Twitter:   / edurekain   LinkedIn:   / edureka   Slideshare: https://www.slideshare.net/EdurekaIN/ ------------------------------------- About the Masters Program Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning. The Master's Program Covers Topics LIke: Python Programming PySpark HDFS Spark SQL Machine Learning Techniques and Artificial Intelligence Types Tokenization Named Entity Recognition Lemmatization Supervised Algorithms Unsupervised Algorithms Tensor Flow Deep learning Keras Neural Networks Bayesian and Markov’s Models Inference Decision Making Bandit Algorithms Bellman Equation Policy Gradient Methods. ---------------------- Prerequisites There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry. -------------------------------------- Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.