0

  • No products in the cart.

Course Curriculum

  • Implement K-fold cross validation for KNN 5 days
  • Quiz on KNN in kannada 5 days
  • Final Test Data Science and Artificial Intelligence in Kannada 5 days
    • data science in kannada introduction
    Introduction to Data Science – I 00:00:00
    Introduction to Data Science – II 00:00:00
    Data Science @Netflix 00:00:00
    Data Science Engineer Skillset 00:00:00
    Job Roles in Data Science 00:00:00
    Environment and IDE's setup
    Google Collab 00:00:00
    IDE’s setup -Anaconda Tools 00:00:00
    Statistics For Data science
    Introduction of Statistics 00:00:00
    Measure of Central Tendency 00:00:00
    Skewness and Kurtosis 00:00:00
    Measure of Variability 00:00:00
    Quartile,Percentile, Histogram,Frequency table 00:00:00
    Sampling ,Inferential Statistics 00:00:00
    Normal Distribution ,Z-Score ,P-Value 00:00:00
    Z-Score,P-Value, Probability Distribution 00:00:00
    Student’s T Distribution 00:00:00
    Estimating Population Proportions 00:00:00
    Python Of Data Science 00:00:00
    Knowing JAP 00:00:00
    Elaborating JAP 00:00:00
    Background and Guiding Principle of Data science 00:00:00
    Python For Data Science 00:00:00
    BACKGROUND AND GUIDING PRINCIPLES 00:00:00
    Chalo INDIA Startup Drive
    All about Chalo India Startup drive 00:00:00
    PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE (PART-1) 00:00:00
    PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE(PART-2) 00:00:00
    STEP BY STEP PROCEDURE FOR LIFE CYCLE OF A DATA SCIENCE PROJECT 00:00:00
    STEP BY STEP IMPLEMENTATION OF DATA SCIENCE 00:00:00
    PYTHON ANALYTICS FOR DATA SCIENCE(PART-1) 00:00:00
    PYTHON ANALYTICS FOR DATA SCIENCE(PART-2) 00:00:00
    PYTHON FOR DATA SCIENCE 00:00:00
    PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE (PART-1) 00:00:00
    Python Fundamentals For Beginners In Data Science (Part-2) 00:00:00
    BACKGROUND AND GUIDING PRINCIPLES OF DATA SCIENCE 00:00:00
    DATA SCIENCE AS SCIENCE 00:00:00
    STEP BY STEP IMPLEMENTATION ON DATA SCIENCE PROJECT 00:00:00
    PYTHON ANALYTICS FOR DATA SCIENCE (PART-1) 00:00:00
    PYTHON ANALYTICS FOR DATA SCIENCE(PART-2) 00:00:00
    R PROGRAMMING IN DATA SCIENCE 00:00:00
    R PROGRAMMING IN DATA SCIENCE 00:00:00
    PYTHON ANALYTICS FOR DATA SCIENCE (PART-3) 00:00:00
    DATA STRUCTURES IN R(PART-1) 00:00:00
    WHY STATISTICS NEEDED FOR DATA SCIENCE(PART-1) 00:00:00
    Why Statistics Needed For Data Science(Part-2) 00:00:00
    OOPS IN PYTHON (PART-1) 00:00:00
    R BASICS 00:00:00
    OOPS IN PYTHON(PART-2) 00:00:00
    PYTHON ANALYTICS FOR DATA SCIENCE(PART-4) 00:00:00
    USING IPL SAMPLE DATA IN DATA SCIENCE PROJECT 00:00:00
    DATA STRUCTURES IN R (PART-2) 00:00:00
    Introduction and Installation 00:00:00
    Basic data structures(lists, tuples, sets, dict) 00:00:00
    Basic data structures(lists, tuples, sets, dict) part 2 00:00:00
    Basic data structures(lists, tuples, sets, dict) part 3 00:00:00
    What is space, Scalars, Vectors and vector algebra 00:00:00
    Equation of line, planes 00:00:00
    Equation of circle, Distance measures 00:00:00
    Statistics for Data Science
    Central tendency, Measure of spread 00:00:00
    Measure of spread part 2 00:00:00
    Correlation. Co-variance 00:00:00
    Correlation. Co-variance part 2 00:00:00
    Probability Distribution part 2 00:00:00
    Probability distribution part 3 00:00:00
    What is Hypothesis testing 00:00:00
    Different common statistical tests 00:00:00
    Different common statistical tests part 2 00:00:00
    Different common statistical tests part 3 00:00:00
    Data science part 1
    Processing numerical data 00:00:00
    Processing numerical data (Python) 00:00:00
    Processing text data part-1 00:00:00
    Processing text data part-2 00:00:00
    TF-IDF 00:00:00
    BoW, TFIDF python code 00:00:00
    PCA part 2 00:00:00
    PCA part 3 00:00:00
    EDA (Student performance) part 1 00:00:00
    K-Nearest Neighbour 00:00:00
    EDA (Student performance) part 2 00:00:00
    Exploratory data analysis (continues case study ) part 1 00:00:00
    Exploratory Data Analysis (Continues case study) part 2 00:00:00
    Exploratory Data Analysis (continuous case study) part 3 00:00:00
    Exploratory Data Analysis (continuous case study) part 4 00:00:00
    Data science part 2
    Logistic Regression part 2 00:00:00
    What is modelling?, Why is modelling? 00:00:00
    KNN part 2 00:00:00
    KNN part 3 00:00:00
    Logistic Regression part 1 00:00:00
    Logistic Regression part 3 00:00:00
    Quiz – 11 00:08:00
    Support Vector Machines part 1 00:00:00
    Support Vector Machines part 2 00:00:00
    Naive Bayes 00:00:00
    Decision Trees 00:00:00
    Decision Tree part 2 00:00:00
    Types of ensembles 00:00:00
    Random Forest 00:00:00
    GBDT 00:00:00
    XGBoost, AdaBoost, LightGBM 00:00:00
    Stacking models 00:00:00
    Basic feature engineering (Continuous case study) part 1 00:00:00
    Basic feature engineering (Continuous case study) part 2 00:00:00
    Basic Regression Quiz 00:05:00
    Sample Project -Hello World 00:00:00
    Sample Project -Hello World 00:00:00
    How to make use of online resources 00:00:00
    Introduction
    Knowing Big Data 00:00:00
    Outcomes of Big Data 00:00:00
    Data Science Basics 00:00:00
    Scraping Quiz 00:03:00
    Regression 00:00:00
    Structured & Unstructured Basics 00:00:00
    Advanced Regression Quiz 00:05:00
    Data Mining
    Hadoop made simple 00:00:00
    Introduction to Mining 00:00:00
    Setting up Data Mining 00:00:00
    Getting into Data Mining 00:00:00
    Quiz – 12 00:10:00
    Octaparsing Live 00:00:00
    Data Mining Quiz -1 In Kannada 00:03:00
    AVODHA Official Kannada YouTube Channel 00:00:00
    HADOOP
    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 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
    Map Reduce – Test your Knowledge 00:03:00
    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
    Hadoop – Test your knowledge 00:04:00
    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 Spark -Session 2 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 Introduction Quiz 00:01:00
    Spark
    Apache Spark ��� Session 1 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
    Hadoop Ecosystem Final Exit Mid Term Quiz 00:03:00
    Starting with Azure
    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
    SQL Quiz – Test your Knowledge 00:03:00
    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 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
    How to Prepare for a Job Interview 00:00:00
    Microsoft Azure : Data Engineer Associate Certification Path- Part 2 00:00:00
    Microsoft Azure Data Engineer Mock Test 00:30:00
    Azure Data Engineer Quiz – Test your Knowledge In Kannada 00:10:00
    More Resources for you
    How To Be A Big Data Engineer 00:00:00
    What are the job opportunities in BigData? 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
    Big Data Basic Quiz In Kannada 00:05:00
    Python Fundamentals
    PEDMAS Rule, Variables, Expression 00:00:00
    Reserved Words, Data Types, Basic in-built Functions 00:00:00
    Flow Control ,Booleans values,Comparison & Assignment Operators 00:00:00
    Boolean Operators, Mixing Boolean and Comparison Operators 00:00:00
    Flow Control Statements ���If ,else if 00:00:00
    While Loop Statement 00:00:00
    Break and Continue Statement 00:00:00
    QUIZ – 13 00:10:00
    Range function using for loop 00:00:00
    How to import Modulus 00:00:00
    Defining Function calls 00:00:00
    Function with return Statement 00:00:00
    Print Statement with Arguments and None Value 00:00:00
    Variable – Local and Global Scope 00:00:00
    Handling Exceptions 00:00:00
    List Data Type -Part A 00:00:00
    List Data Type -Part B 00:00:00
    List Data Type -Part C 00:00:00
    List Data Type -Part D 00:00:00
    List Traversal 00:00:00
    Methods of List Data Type-A 00:00:00
    Methods of List Data Type-B 00:00:00
    Methods of List Data Type-C 00:00:00
    Copying and Comprehension in List 00:00:00
    Data Type and Operations in Tuple 00:00:00
    Methods and Functions in Tuple 00:00:00
    Data Type and Operations in String 00:00:00
    Methods in String -Part A 00:00:00
    Methods in String -Part B 00:00:00
    Methods in String -Part C 00:00:00
    Data Type -Dictionary 00:00:00
    Methods Part A -Dictionary 00:00:00
    Methods Part B -Dictionary 00:00:00
    Counters and Looping -Dictionary 00:00:00
    Apache HBase – Hadoop ecosystem tool 00:00:00
    QUIZ SECTION
    QUIZ – 14 00:10:00
    BONUS LECTURE
    Data Type -Array 00:00:00
    Numpy Array -Part A 00:00:00
    File – Open and Read Functions 00:00:00
    Numpy Array -Part B 00:00:00
    File – Write Functions 00:00:00
    Programs on File Operations 00:00:00
    Congrats ! Submit the course completion form. 00:00:00
    top