Data Analytics for Beginners - Introduction to Data Analytics
Learn data analytics fundamentals, including the data lifecycle, machine learning basics, and exploratory data analysis using Python/R. Gain practical skills for leveraging data to solve problems and make informed decisions.
Complete Python Playlist
Comprehensive guide to Python programming, covering basics to advanced topics, data science libraries, and practical projects for becoming an expert developer.
Exploratory Data Analysis Using Python
Comprehensive Hindi tutorial on Exploratory Data Analysis using Python, covering Pandas, Matplotlib, and practical EDA examples with IPL, FIFA, and Superheroes datasets.
Tabular Data
Learn machine learning techniques for tabular data, including model evaluation, feature engineering, tree-based models, hyperparameter tuning, and neural networks using AWS SageMaker.
Essential Workshop to Exploratory Data Analysis and Feature Engineering
Explore and preprocess data, analyze correlations and distributions, engineer features, and train ML models using a Google Play Store dataset. Improve model accuracy and efficiency.
Integration then Interrogation: Exploratory Data Analysis on a Deadline - 2022
Explore strategies for efficient exploratory data analysis, focusing on visualization techniques, predictive modeling, and practical constraints in chemical biology datasets.
Data Science Full Course for Beginners - Python for Data Science
This video teaches Data Science and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.
Data Science with Python Full Course
Comprehensive introduction to data science, covering statistics, Python, machine learning, databases, exploratory analysis, visualization, deep learning, and neural networks with practical examples.
EDA and Feature Engineering Playlist
Hands-on sessions exploring data analysis and feature engineering using real-world datasets, covering Zomato, Black Friday sales, flight prices, and automated EDA techniques.
Time Series
Explore time series analysis through hands-on sessions covering EDA, stock analysis, and advanced forecasting models like ARIMA, SARIMAX, and Fbprophet.
Machine Learning Pipelines
Explore advanced house price prediction through data analysis, feature engineering, and selection techniques for improved model accuracy.
Exploratory Data Analysis
Learn advanced techniques for exploratory data analysis and feature engineering in house price prediction, including automated visualization tools and efficient EDA libraries.
Kaggle Projects
Learn data science through hands-on Kaggle projects, from beginner to advanced. Explore real-world datasets, conduct exploratory analysis, and gain insights from studying others' code.
Data Science Project From Scratch
Learn to plan, collect, clean, analyze, model, and deploy a data science project, with practical examples and portfolio-building opportunities.
R Programming Crash Course
Comprehensive introduction to R programming, covering installation, data types, data manipulation with dplyr, visualization with ggplot2, and practical data analysis techniques for beginners.
Explore and Analyze Data with R
Explore, analyze, and visualize data using R programming language. Learn to use packages like ggplot2, dplyr, and tidyr to transform raw data into insights and knowledge.
R Data Science Project
Learn practical R data science skills through hands-on tutorials covering exploratory analysis, machine learning, data visualization, and building interactive web applications with Shiny.
Bioinformatics Project
Learn to apply data science in bioinformatics for drug discovery, from data collection to model deployment, with hands-on projects and practical coding examples.
Power BI Crash Course for Beginners
Learn to import, analyze, and visualize data using Power BI Desktop. Master data cleaning, DAX, Power Query, and create insightful visualizations for effective business intelligence.
Building a Personalised Attrition Recommendation System
Comprehensive guide to building an attrition recommendation system, covering data analysis, predictive modeling, and strategy development to prevent employee churn and improve workforce retention.
Python Pandas Tutorial for Data Analysis and Manipulation - Hindi
पायथन पांडास का व्यापक परिचय: डेटाफ्रेम, सीरीज़, और डेटा विश्लेषण तकनीकों का अध्ययन। एक्सेल और CSV फाइलों के साथ काम करने की जानकारी शामिल है।