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Machine learning: A data-driven approach for success

    Mode of Delivery : Webinar
    Posted on : December 1, 2019
    When : December 6, 2019
    Time : 19:30 PM IST
    Speaker : Cognixia
    Duration : 1:30
    Web conference Portal : View website
    Re-direct or Register URL : View website
    Location : Collabera House II, 2nd Floor, Tower B, Mayfair Corporate Park, BH DPS School, Kalali

    Machine learning will automate jobs that most people thought could only be done by people”: Dave Waters

    Machine learning today has gained immense popularity and is gradually impacting every aspect of our lives. It has become quite a trend in the industrial revolution and is definitely here to stay. As a part of the broad category of data science, machine learning takes data science a step further by using algorithms that are greatly helpful for organizations and individuals in making informed decisions. It helps us study, process and analyze data better, by incorporating machines into the routine, thereby reducing the time to get the results, and eliminating the scope of errors.

    “A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning.

    Machine learning is a highly sought after career option in the market currently. Companies big and small, everywhere on the globe, are looking for trained and skilled machine learning professionals, who are a master of their craft and can help organizations achieve their goals.

    Machine learning and the Python programming language are not new in any way, but have gained a lot of momentum in the past few years. So take this leap with us and gain the skills to achieve success with a data-driven approach using machine learning. Cognixia is hosting a live webinar on “Machine learning: A data-driven approach for success” on 6 December 2019 :30 p.m. to 9:30 p.m. IST.

    This webinar broadly covers:

    Why use Python for machine learning?

    Basic syntax

    Learning Python programming

    NumPy, Pandas, Matplotlib

    Data wrangling

    Exploratory Data Analysis (EDA)

    Basics of machine learning

    Supervised learning – linear regression

    Unsupervised learning – Logistic regression, decision tree, random, SVM, Naive Bayes k-means clustering

    Reinforcement learning – Q-learning

    Dimensionality reduction – PCA/LDA

    Market basket analysis – association rules and Apriori algorithm

    Time series analysis – ARIMA model

    Introduction to artificial intelligence

    ANN and Deep learning


    Every participant who attends the complete webinar will get a Certificate of Participation from Cognixia.


    Mention when calling,you may can get additional discount.



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