Browse Lessons

How Did I Learn Deep Learning in 2.5 months?

Live Q&A- Answering your Questions.

Why Data Structures Are Important For Every Programmer?

Why Data Scientist Require Knowledge In Linux OS?

Tutorial 3- Deployment of NLP Model in Heroku Cloud

Flask Vs Django and When Should You Use What?

Why Are You Not Getting Interview Calls for Data Science?

Live Q&A.

Tutorial 10- Seaborn- Countplot(), Violinplot(), Boxplot()- Part2

Tutorial 9- Seaborn Tutorial- Distplot, Joinplot, Pairplot Part 1

Tutorial 8- Matplotlib (Simple Visualization Library)

Tutorial 7- Pandas-Reading JSON,Reading HTML, Read PICKLE, Read EXCEL Files- Part 3

Why and When Should we Perform Feature Normalization?

Tutorial 6- Pandas,Reading CSV files With Various Parameters- Part 2

Best Laptop Configuration For Learning Machine Learning and Deep Learning

How to Prepare For Data Science Interviews

Tutorial 5- Pandas, Data Frame and Data Series Part-1

How To Become Expertise in Exploratory Data Analysis

Tutorial 4 - Numpy and Inbuilt Functions Tutorial

Tutorial 3- Python Sets, Dictionaries and Tuples

Tutorial 2 - Python List and Boolean Variables

Tutorial 1- Anaconda Installation and Python Basics

Selecting YouTube As A Career Option? Is It Worth?

How Did I Learn Machine Learning in 3 Months

Detailed Salary Comparison Between Data Analyst and Data Scientist

Kaggle Competition- Dengue or Malaria Prediction Using Transfer Learning VGG19

Salary Comparison Between Data Scientist vs Software Engineer

Kaggle Competition- Predicting PIMA Diabetes Prediction using Machine Learning

Live Q&A Internship Opportunities

Kaggle Competition- Implement A DNA Classifier using NLP

Kaggle Competition- Predict Stock Price Movement Based On News Headline using NLP

Statistics-Finding Outliers in Dataset using Z- score and IQR

Featuring Engineering- How To Handle Ordinal Categories(Ordinal Encoding)

Statistics- What is Pearson Correlation Coefficient? Difference between Correlation and Covariance

Featuring Engineering- Handle Categorical Features Many Categories(Count/Frequency Encoding)

Skills Required To Become A Data Analyst and a Data Scientist

Kaggle Competition- I Used Deep Learning Technique and did the Accuracy Increase? Part 3

Kaggle Competition - House Prices Regression Techniques(Hyperparameter Tuning)-Part 2

Kaggle Competition - House Prices: Advanced Regression Techniques Part1

Various Roles and Responsibilities in Data Science

Live Q&A (Discussion Regarding Upcoming Videos)

Machine Learning Engineer VS Data Scientist

STATISTICS- Chebyshev's InEquality

STATISTICS- What is Central Limit Theorem?

STATISTICS- Gaussian/ Normal Distribution

STATISTICS- PERCENTILES and QUANTILES

STATISTICS- Population VS Sample and it's Importance

Guidelines To Prepare Resume For Data Scientist Role