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Data Science and Artificial Intelligence in Malayalam

Course Currilcum

    • Knowing Big Data 00:00:00
    • Knowing JAP 00:00:00
    • Elaborating JAP 00:00:00
    • Outcomes of Big Data 00:00:00
    • Data Science Basics 00:00:00
    • Big Data Basic Quiz 00:00:30
    • All About Chalo INDIA Startup Drive 00:00:00
    • AVODHA Official Malayalam YouTube Channel 00:00:00
    • Regression 00:00:00
    • Structured & Unstructured Basics 00:00:00
    • Hadoop made simple 00:00:00
    • Introduction to Mining 00:00:00
    • Octoparse Installation & Live Scraping 00:00:00
    • Data Mining Quiz -1 In Malayalam 00:03:00
    • Scraping Quiz 00:00:30
    • Introduction to HADOOP 00:00:00
    • What is the difference between a Local file system (LFS) and HDFS? 00:00:00
    • HADOOP Distributed File System 00:00:00
    • HADOOP Yarn 00:00:00
    • Hadoop MapReduce 00:00:00
    • Hadoop Installation and Map Reduce Job Execution DEMO 00:00:00
    • Step by Step Guide : Hadoop 3.3.0 installation and MapReduce Job Execution on Windows 00:00:00
    • Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop 00:00:00
    • Hadoop- MapReduce Practical Assignments 00:00:00
    • SQL-Structured Query Language 00:00:00
    • Apache HIVE – Hadoop Ecosystem Tool 00:00:00
    • Step by Step Guide : Apache HIVE installation using Cygwin on Windows & External Table Creation 00:00:00
    • SQL Quiz – Test your Knowledge Unlimited
    • Hadoop – Test your knowledge 00:10:00
    • Apache HIVE-Practical Assignment -Part 1 00:00:00
    • Apache HIVE-Practical Assignment -Part 1-Continued 00:00:00
    • HIVE Quiz – Test your Knowledge 00:03:00
    • Apache HBase -Hadoop Ecosystem Tool 00:00:00
    • Step by Step Guide : Apache Hbase installation on Windows & Table Creation 00:00:00
    • Apache HBase Practical Assignment 00:00:00
    • Hadoop Eco System- Other Tools 00:00:00
    • Hadoop Ecosystem Final Exit Mid Term Quiz 00:10:00
    • Apache Spark – Session 1 00:00:00
    • Apache Spark -Session 2 00:00:00
    • Apache Spark Programming Guide 00:00:00
    • Apache Kafka Stream processing and DEMO 00:00:00
    • Apache Spark Streaming 00:00:00
    • Python for Apache Spark – pySpark 00:00:00
    • Big Data and Cloud Computing 00:00:00
    • Microsoft Azure Fundamentals and Overview 00:00:00
    • How to Create a New Microsoft Azure Account 00:00:00
    • Azure Subscription Policies ,Resource Groups and Storage Account 00:00:00
    • Microsoft Azure- Working with Data Storage 00:00:00
    • Microsoft Azure – DataBricks 00:00:00
    • Microsoft Azure- Working with Databricks 00:00:00
    • Microsoft Azure- Cosmos DB 00:00:00
    • Microsoft Azure SQL 00:00:00
    • Microsoft Azure Synapse Analytics and PolyBase 00:00:00
    • Microsoft Azure Stream Analytics and event hubs 00:00:00
    • Microsoft Azure Data Factory Service – ADF 00:00:00
    • Microsoft Azure Creating a Virtual Machine 00:00:00
    • Microsoft Azure : Securing Data Platforms 00:00:00
    • Microsoft Azure – Monitoring and Troubleshooting Data Storage and Processing 00:00:00
    • Microsoft Azure : Data Engineer Associate Certification Path- Part 1 00:00:00
    • Microsoft Azure : Data Engineer Associate Certification Path- Part 2 00:00:00
    • Azure Data Engineer Quiz – Test your Knowledge In Malayalam 00:10:00
    • Microsoft Azure Data Engineer Mock Test 00:30:00
    • More resources for you 00:00:00
    • How To Be A Big Data Engineer 00:00:00
    • What are the job opportunities in BigData? 00:00:00
    • How to Prepare for a Job Interview 00:00:00
    • What is the attitude to work in the Industry 00:00:00
    • How to Manage Life and Work 00:00:00
    • How to excel in the field 00:00:00
    • Finishing HADOOP 00:00:00
      • Introduction to AI vs ML vs DS 00:00:00
      • Jupyter Notebook and Basic Syntax of Python 00:00:00
      • QUIZ – BASIC SYNTAX 00:15:00
      • Conditionals and Loops 00:00:00
      • Lists and Tuples 00:00:00
      • Strings in Python 00:00:00
      • Dictionary in Python 00:00:00
      • MINI PROJECT: ROCK-PAPER-SCISSORS GAME 00:00:00
      • Functions in Python Part-1 00:00:00
      • Functions in Python Part-2 00:00:00
      • MINI PROJECT:SUDOKU SOLVER 00:00:00
      • OOPs Intro,Class and Objects 00:00:00
      • Access Modifiers and Inheritance 00:00:00
      • Method overriding,Encapsulation,Polymorphism and imports 00:00:00
      • Files and Exception Handling 00:00:00
      • Chess with GUI part-1 00:00:00
      • Chess with GUI part-2 00:00:00
      • Chess with GUI part-3 00:00:00
      • Chess with GUI part-4 00:00:00
      • File reading in Pandas 00:00:00
      • File writing in Pandas 00:00:00
      • Getting into data manipulation Part-1 00:00:00
      • Getting into data manipulation Part-2 00:00:00
      • Getting into data manipulation Part–3 00:00:00
      • Getting into data manipulation Part-4 00:00:00
      • Advanced data manipulation Part-1 00:00:00
      • Advanced data manipulation Part-2 00:00:00
      • Numpy array manipulation Part-1 00:00:00
      • Numpy array manipulation Part-2 00:00:00
      • Numpy array manipulation Part-3 00:00:00
      • Numpy array manipulation Part-4 00:00:00
      • Data Visualization with matplotlib Part-1 00:00:00
      • Data Visualization with matplotlib Part-2 00:00:00
      • Plotly and Cufflinks part-1 00:00:00
      • Plotly and Cufflinks part-2 00:00:00
      • Visualization with Seaborn Part-1 00:00:00
      • Visualization with Seaborn Part-2 00:00:00
      • MySQL 00:00:00
      • SQLite 00:00:00
      • MongoDB 00:00:00
      • API AND EXECUTION FLOW 00:00:00
      • UNDERSTANDING API BY CREATING CALCULATOR 00:00:00
        • Virat Kohli ODI Career Analysis 00:00:00
        • Virat Kohli Test Career Analysis 00:00:00
        • CRISTIANO RONALDO GOALS DATA 00:00:00
        • FIFA DATA EXPLORATION 00:00:00
        • When Would Virat Ovetake Sachin in ODI 00:00:00
        • MESSI VS RONALDO LEAGUE PERFORMANCE 00:00:00
        • MoneyHeist Data Exploration 00:00:00
        • Breaking Bad EDA and a Glimpse of NLP 00:00:00
        • Disney Movies 00:00:00
        • IMDB 1000 MOVIES 00:00:00
        • Netflix Shows 00:00:00
        • Finance Courses in Udemy 00:00:00
        • IBM PAYMENT HISTORY 00:00:00
        • State aggregate expenditure and personal finance data 00:00:00
        • Loan Approval Data 00:00:00
        • Introduction to Statistics 00:00:00
        • Population and Sampling Techniques 00:00:00
        • Variables and Measurements 00:00:00
        • Measures of Central Tendency and Dispersion 00:00:00
        • 5 Number Summary 00:00:00
        • Gaussian(Normal) Distribution and Z score 00:00:00
        • Log-Normal,Bernauli,Binomial and More Distributions 00:00:00
        • Standardization and Normalization 00:00:00
        • Probability 00:00:00
        • Permutations and Combinations 00:00:00
        • Hypothesis Testing 00:00:00
        • Z-test,t-test and Chi-Square test 00:00:00
        • Covariance ,Pearson’s Correlation and Spearman’s Correlation 00:00:00
        • Introduction to Machine Learning 00:00:00
        • PROJECT_INTRO 00:00:00
        • Sampling and Data Exploration 00:00:00
        • Data Preperation and Pipeline Setting 00:00:00
        • Model Building ,Evaluation and Presentation 00:00:00
        • Linear Regression 00:00:00
        • R square and Adjusted R Square 00:00:00
        • Linear Regression and R2_Score Practical 00:00:00
        • Ridge and Lasso Regression 00:00:00
        • Ridge and Lasso Regresson Practicals 00:00:00
        • Logistic Regression 00:00:00
        • Confusion Matrix,Precision,Recall and F-Score 00:00:00
        • Logistic Regression,Confusion Matrix practicals 00:00:00
        • Naive Bayes Indepth Intuition 00:00:00
        • ROC AND AUC 00:00:00
        • Naive Bayes ,ROC and AUC Practicals 00:00:00
        • KNN,Euclidean and Manhattan Distance 00:00:00
        • K Means Clustering with Practical 00:00:00
        • Hierarchical and DBSCAN Clustering 00:00:00
        • 1.Web Scraping 00:00:00
        • 2.Data Gathering From API 00:00:00
        • 1. Salary Prediction(Using Flask and Django) 00:00:00
        • Using Flask Framework 00:00:00
        • Using Django Framework 00:00:00
        • 2. Admission Prediction 00:00:00
        • 3.Drug Classification 00:00:00
        • 4.Diabetes Prediction 00:00:00
        • 5. Income Prediction 00:00:00
        • 6.ForestCoverClassification 00:00:00
        • 7.InsuranceFraudClaimDetection 00:00:00
        • 8.Iris Flower Classification with Deployment on Heroku 00:00:00
        • Introduction to StreamLit Part-1 00:00:00
        • Introduction to StreamLit Part-2 00:00:00
        • Introduction to StreamLit Part-3 00:00:00
        • Software Developer Salary Prediction 00:00:00
        • Iris_FLower_Classification Project and Deployment 00:00:00
        • Live Data Dashboard with Deployment 00:00:00
        • Introduction to Business intelligence 00:00:00
        • Basic Charts and UI 00:00:00
        • Geographical Maps 00:00:00
        • Table and Matrix 00:00:00
        • Final Test Unlimited
        • Congrats ! Submit the course completion form. 00:00:00
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