CampusX Data Science Mentorship Program 2022-23
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What you'll learn
This course includes
- 365.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 236 lessons • 365.3 hours of video
CampusX Data Science Mentorship Program 2022-23
236 lessons
• 359.5 hours
CampusX Data Science Mentorship Program 2022-23
236 lessons
• 359.5 hours
- Curse of Dimensionality 15:25
- Principle Component Analysis (PCA) | Part 1 | Geometric Intuition 33:54
- Principle Component Analysis (PCA) | Part 2 | Problem Formulation and Step by Step Solution 56:17
- Principle Component Analysis(PCA) | Part 3 | Code Example and Visualization 43:26
- Gradient Descent From Scratch | End to End Gradient Descent | Gradient Descent Animation 01:57:56
- Batch Gradient Descent with Code Demo | Simple Explanation in Hindi 01:04:49
- Stochastic Gradient Descent 49:35
- Mini-Batch Gradient Descent 22:10
- Polynomial Regression | Machine Learning 26:46
- Ridge Regression Part 1 | Geometric Intuition and Code | Regularized Linear Models 19:58
- Ridge Regression Part 2 | Mathematical Formulation & Code from scratch | Regularized Linear Models 43:41
- Ridge Regression Part 3 | Gradient Descent | Regularized Linear Models 18:43
- 5 Key Points - Ridge Regression | Part 4 | Regularized Linear Models 30:17
- Lasso Regression | Intuition and Code Sample | Regularized Linear Models 28:37
- Why Lasso Regression creates sparsity? 24:30
- ElasticNet Regression | Intuition and Code Example | Regularized Linear Models 11:41
- Accuracy and Confusion Matrix | Type 1 and Type 2 Errors | Classification Metrics Part 1 34:08
- Precision, Recall and F1 Score | Classification Metrics Part 2 42:42
- ROC Curve in Machine Learning | ROC-AUC in Machine Learning Simplified | CampusX 01:11:15
- Logistic Regression Hyperparameters || Logistic Regression Part 8 13:07
- What is K Nearest Neighbors? | KNN Explained in Hindi | Simple Overview in 1 Video | CampusX 52:01
- Awesome Decision Tree Visualization using dtreeviz library 18:36
- Introduction to Ensemble Learning | Ensemble Techniques in Machine Learning 37:43
- Bagging | Introduction | Part 1 31:13
- Bagging Ensemble | Part 2 | Bagging Classifiers 22:32
- Bagging Ensemble | Part 3 | Bagging Regressor 10:55
- Gradient Boosting for Classification | Geometric Intuition | CampusX 01:04:33
- Introduction to XGBOOST | Machine Learning | CampusX 01:19:37
- XGBoost for Regression | XGBoost Part 2 | CampusX 47:17
- XGBoost For Classification | How XGBoost works on Classification Problems | CampusX 39:08
- The Maths Behind XGBoost | Machine Learning | CampusX 01:57:28
- Session 1 - Python Fundamentals | CampusX Data Science Mentorship Program | 7th Nov 2022 02:10:23
- Session 2 - Operators + If-Else + Loops | CampusX Data Science Mentorship Program | 8th Nov 2022 02:11:35
- Session 3 - Python Strings | CampusX Data Science Mentorship Program | 9th Nov 2022 02:22:54
- Programming Problems on Strings | Session 3 Supplementary Session 29:12
- Session 4 - Lists in Python | Data Science Mentorship Program(DSMP) 2022-23 02:07:02
- Session 5 - Tuples + Sets + Dictionary | Data Science Mentorship Program(DSMP) 2022-23 02:16:37
- Session 6 - Functions in Python | Data Science Mentorship Program(DSMP) 2022-23 02:15:47
- OOP Part 1 | Class & Object | Data Science Mentorship Program(DSMP) 2022-23 02:13:57
- OOP Part 2 | Encapsulation & Static Keyword | Static | Data Science Mentorship Program(DSMP) 2022-23 02:15:51
- OOP Part 3 | Inheritance & Polymorphism | Static | Data Science Mentorship Program(DSMP) 2022-23 02:14:55
- What is Abstraction | OOP Concept | Python 14:53
- Session 10 - File Handling + Serialization & Deserialization | DSMP 2022 - 23 02:05:19
- Session 11 - Exception Handling & Modules and Packages | DSMP 2022 - 23 01:29:58
- Session 12 - Decorators & Namespaces | DSMP 2022 - 23 01:59:01
- Session 13 - Numpy Fundamentals | Data Science Mentorship Program (DSMP) 2022-23 | Free Session 02:01:53
- Session 14 - Advanced Numpy | Data Science Mentorship Program (DSMP) 2022-23 | Free Session 01:49:15
- Session 15 - Numpy Tricks | Data Science Mentorship Program (DSMP) 2022-23 | Free Session 01:30:35
- Session 16 - Pandas Series| Data Science Mentorship Program (DSMP) 2022-23 | Free Session 02:07:18
- Session 17 - Pandas DataFrame | Data Science Mentorship Program (DSMP) 2022-23 | Free Session 02:08:27
- Important Series Methods | Supplementary Session | DSMP 2022-23 25:09
- Session 18 - Important DataFrame Methods | Data Science Mentorship Program (DSMP) 2022-23 02:12:15
- Session 19 - GroupBy Object in Pandas | Data Science Mentorship Program (DSMP) 2022-23 02:09:07
- Session 20 - Merging, Joining & Concatenating | DSMP 2022-23 02:15:18
- Session 21 - MultiIndex Series and DataFrames | DSMP 2022-23 01:57:55
- Session 22 - Vectorized String Operations | DateTime in Pandas | Pivot Table | DSMP 2022-23 02:06:25
- Session 23 - Plotting using Matplotlib | DSMP 2022-23 02:06:30
- Session 24 - Advanced Matplotlib | DSMP 2022-23 02:13:23
- Session 25 - Plotting using Seaborn | DSMP 2022-23 01:50:09
- Session 26 - Plotting using Seaborn Part 2 | DSMP 2022-23 01:41:05
- Session 27 - Data Gathering | Data Analysis Process | DSMP 2023 02:50:04
- How to Build a Portfolio Website for Data Science 48:14
- Session on Week 1 Task Solutions | Paid Members 02:14:42
- Session on Time Complexity | Friday Paid Session 01:42:01
- Week 1 Doubt Clearance + Interview Preparation | Paid Members 01:29:53
- Week 1 Task 3 Solutions | CampusX DSMP 2022-23 | Paid Session 01:06:10
- Career QnA Live Session for Paid Members | Data Science Mentorship Program(DSMP) 2022-23 01:59:43
- Array Interview Questions | Paid Members | Data Science Mentorship Program(DSMP) 2022-23 02:17:10
- Interview Questions + Doubt Clearance | Paid Members | Data Science Mentorship Program(DSMP) 2022-23 01:27:11
- Week 2 - Task 4 Solutions | Paid Session | Data Science Mentorship Program | DSMP 2022-23 46:08
- Task 5 Solutions | Paid Members | Data Science Mentorship Program (DSMP) 2022-23 47:26
- Task 6 Solutions | Paid Recording | DSMP 2022-23 45:52
- OOP Project | Friday Paid Session | Data Science Mentorship Program(DSMP) 2022-23 02:15:09
- New Website Launch | DSMP 2022-23 21:17
- Week 3 - Interview Questions | Data Science Mentorship Program(DSMP) 2022-23 01:51:19
- Task 7 Solutions | Paid Recording | DSMP 2022-23 31:17
- Task 8 Solutions | Paid Recording | DSMP 2022-23 56:19
- Task 9 Solutions | Paid Recording | DSMP 2022-23 25:26
- Schedule for December + Program Improvements | CampusX Data Science Mentorship Program (DSMP 2022) 21:05
- Task 10 Solutions | Paid Member Recording 45:01
- GUI development using Python | Friday Paid Session | DSMP 2022-23 02:47:55
- Week 4 - Interview Questions | Paid Recordings | DSMP 2022-23 02:39:14
- Task 11 Solutions | Paid Recording | DSMP 2022-23 26:31
- Task 12 Solutions | Paid Recording | DSMP 2022-23 35:09
- Resume Building for Data Scientist | Career Pe Charcha | DSMP 2022-23 48:09
- Feedback Form for November | Data Science Mentorship Program(DSMP) 2022-23 03:59
- Session on Web Development using Flask | Paid Session | DSMP 2022-23 02:33:33
- Task 13 Solutions | Paid Recording | DSMP 2022-23 50:31
- Task 14 Solutions | Paid Recording | DSMP 2022-23 24:17
- Task 15 Solutions | Paid Recording | DSMP 2022-23 21:39
- API Development using Flask | Paid Session | DSMP 2022-23 02:43:03
- Week 5 - Numpy Interview Questions | Paid Session | DSMP 2022-23 02:34:07
- Task 16 Solutions | Paid Recording | DSMP 2022-23 13:49
- Task 17 Solutions | Paid Recording | DSMP 2022-23 16:26
- Task 18 Solutions | Paid Recording | DSMP 2022-23 39:57
- Session on Streamlit | Paid Session | DSMP 2022-23 02:24:47
- Pandas Case Study 1 | Indian Startup Funding 02:23:20
- Session 1 on Git Fundamentals 02:11:06
- Task 19 Solutions | Paid Recording | DSMP 2022-23 30:50
- Task 20 Solutions | Paid Recording | DSMP 2022-23 57:42
- Session on Git and Github Part 2 | Paid Session | DSMP 2022-23 02:09:17
- Talking Data Science with Pranjal Yadav | Guest Session 01:24:43
- CampusX DSMP 2023 January Schedule 09:57
- Pandas Case Study Time Series Analysis 02:27:41
- Pandas Case Study 2 Working with textual data 02:40:09
- Task 21 Solutions | Recorded Session | DSMP 2023 25:47
- Session on Plotly Express 02:14:55
- Session on Plotly Part 2 02:09:33
- Task 22 Solutions | Paid Recordings | DSMP 2023 42:14
- Session on Open Source Software Part 1 01:00:10
- Session on Open Source Software Part 2 | Paid Session 01:09:38
- Session 28 - Data Assessing and Cleaning | DSMP 2022-23 02:26:37
- Task 23 Solutions | Paid Recording | DSMP 2023 43:11
- Session on ETL using AWS RDS | Paid Session | DSMP 2023 02:13:47
- Session on Advanced Web Scraping using Selenium 03:06:13
- Session on Data Cleaning Case Study - Smartphone dataset 02:10:49
- Month of SQL | CampusX DSMP 2023 | Feb Schedule 13:15
- Build a Data Scientist's Dream LinkedIn Profile with ChatGPT 45:45
- Session 29 - Exploratory Data Analysis | Data Analysis Process | DSMP 2022-23 02:30:10
- Task 25 Solutions | Paid Recording | DSMP 2023 20:42
- Task 26 Solutions | Paid Recording | DSMP 2023 30:15
- Task 24 Solutions | Paid Recording | DSMP 2023 40:11
- Session 2 on Data Cleaning - Smartphones Dataset | Paid Session | DSMP 2023 02:28:57
- Session 30 - Database Fundamentals | DSMP 2022-23 02:15:15
- Session on EDA Case Study - Smartphones Dataset | Paid Session | DSMP 2023 02:29:36
- Task 27 Solutions | Paid Recording | DSMP 2023 56:44
- Session 31 - SQL DDL Commands | DSMP 2023 02:04:45
- Session 1 on Tableau | Paid Session | DSMP 2023 01:43:58
- Session 32 - SQL DML Commands | DSMP 2023 02:04:00
- Session 33 - SQL Grouping + Sorting | DSMP 2023 02:05:28
- Session 34 - SQL Joins| DSMP 2023 02:10:29
- Career QnA for Paid Members 01:48:08
- Session 2 on Tableau - Sales Dataset 02:16:43
- Session 35 - Subqueries in SQL | DSMP 2023 02:18:27
- SQL Case Study 1 | Zomato Dataset 02:10:01
- Task 32 Solutions 14:21
- Making a Flights Dashboard using Python and SQL | Paid Recording | DSMP 2023 02:03:26
- SQL Interview Questions Part 1 02:04:31
- Session 36 - Window Functions in SQL | DSMP 2023 01:40:05
- Task 33 Solutions | Paid Recording | DSMP 2023 34:51
- Career Pe Charcha | Markdown Basics | How to build a Kickass Github Profile 25:40
- Session 37 - Window Functions Part 2 | SQL Tutorials 47:11
- Session 37 (Cont..) - Window Functions Part 3 | SQL Tutorial 53:24
- Session on Data Cleaning using SQL | Laptops Dataset 02:18:45
- Session on EDA using SQL | Laptops Dataset 02:09:18
- CampusX DSMP March Schedule | Dher Sara Statistics!!! 07:37
- Task 34 Solutions | Paid recording | DSMP 2023 29:22
- Task 35 Solutions | Paid Recording | DSMP 2023 36:02
- Session 38 - Descriptive Statistics Part 1 | DSMP 2023 01:52:26
- Session on Datetime in SQL | Paid Session | DSMP 2023 02:14:06
- Session 39 - Descriptive Statistics Part 2 | DSMP 2023 01:55:42
- Session 40 - Probability Distribution Functions - PDF, PMF & CDF | DSMP 2023 02:09:55
- SQL Datetime Case Study on Flights Dataset | Paid Session | DSMP 2023 01:52:15
- Session on Database Design | SQL Data Types | Database Normalization 02:25:38
- Session 41 - Normal Distribution | DSMP 2023 02:01:29
- Task 36 Solutions 35:47
- Session 42 - Non-Gaussian Probability Distributions | DSMP 2023 02:16:04
- Session on Views and User Defined Functions in SQL | Paid Session | DSMP 2023 01:54:18
- Session on Transactions & Stored Procedures 02:21:17
- Session 43 - Central Limit Theorem | DSMP 2023 01:51:35
- Session 44 - Confidence Intervals | DSMP 2023 02:10:01
- April Schedule | CampusX Data Science Mentorship Program 2023 12:00
- Session 45 - Hypothesis Testing Part 1 | DSMP 2023 01:59:16
- Session 46 - Hypothesis Testing Part 2 | p-values | t-tests | DSMP 2023 02:11:36
- Session on Chi Square Tests 02:15:21
- Session on ANOVA | Paid Zoom Session 01:58:10
- Supercharge Your ML Journey: Mastering Vectors in Linear Algebra - Part 1 01:31:58
- Linear Algebra Part 2 | Matrices 02:26:34
- Linear Algebra Part 3 | Matrices Intuition 02:10:01
- Introduction to Machine Learning 03:26:18
- Simple Linear Regression | Lecture 49 | DSMP 2023 02:11:50
- Session 50 - Multiple Linear Regression | DSMP 2023 01:49:41
- Level Up Your Data Science Skills with ChatGPT | Unlock the Secrets of AI-Assisted Learning 50:48
- Session on Optimization - The Big Picture 02:09:10
- Session on Differential Calculus 02:25:48
- Doubt Clearance Session on Linear Regression 02:09:16
- Session 1 on Regression Analysis 02:16:56
- DSMP 2023 May Schedule | CampusX Data Science Mentorship Program 05:31
- Session 2 on Regression Analysis 01:54:09
- Session on Assumptions of Linear Regression 02:25:44
- Session 53 - Session on Multicollinearity | DSMP 2023 02:11:54
- Session 54 - Feature Selection Part 1 | Filter Methods | Variance Threshold | Chi-Square | DSMP 2023 02:06:00
- Session 55 - Feature Selection Part 2 | Wrapper Methods | DSMP 2023 01:53:42
- Session 3 on Feature Selection | Embedded Methods 01:59:29
- Regularization Part 1 | Bias Variance Trade-off 02:02:51
- Regularization Part 2 | What is Regularization? 01:56:23
- Doubt Clearance Session on Regularization 01:09:17
- Session on Advanced KNN 02:06:01
- Session on Eigen Vectors and Eigen Values | Week 29 | DSMP 01:40:43
- Session on Eigen Decomposition + PCA Variants | Week 29 | DSMP 02:07:27
- Session on Singular Value Decomposition 02:13:01
- Session on Cross Validation 01:08:44
- Session on Data Leakage 02:25:26
- Session on Hyperparameter Tuning 01:46:58
- Master Probability in Data Science: The Ultimate Crash Course! | Part 1 | CampusX 01:34:06
- Mastering Probability for ML: Joint | Marginal | Conditional Probability and Bayes' Theorem 01:20:29
- Session 2 on Naive Bayes 02:13:57
- Session 1 on Naive Bayes 02:00:49
- Session 3 on Naive Bayes 01:58:53
- Session 1 on Logistic Regression 02:08:28
- Session on Softmax Regression | Multiclass Classification | Week 32 | DSMP 01:52:54
- Session on Maximum Likelihood Estimation 02:07:48
- Session 3 on Logistic Regression 02:06:40
- SVM Part 1 | Hard Margin SVM 01:42:15
- Feature Engineering | Extra Session | Session on Handling Missing Values Part 1 02:33:35
- SVM Part 2 - Soft Margin SVM 01:46:40
- Session on Constrained Optimization Problem 02:00:35
- Session on SVM Dual Problem 01:45:51
- Feature Engineering | Extra Session | Session 2 on Handling Missing Data 02:13:07
- Session on Maths Behind SVM Kernels 01:59:04
- Session 1 on Decision Trees 02:07:42
- Feature Engineering | Extra Session | Session 3 on Handling Missing Values 02:08:40
- Session 2 on Decision Trees 01:58:54
- Session 3 on Decision Trees | Pruning 01:40:56
- Session 1 on Random Forest | Week 35 | DSMP 02:03:08
- Session 2 on Random Forest | Week 35 | DSMP | 01:45:10
- Session 1 on Gradient Boosting - Regression | Week 36 | DSMP 02:19:17
- Session 1 on Capstone Project | Capstone Project | DSMP 01:34:01
- Session 2 on Gradient Boosting | Perspectives 02:14:17
- Gradient Boosting for Classification Maths Formulation | Week 36 | DSMP 54:10
- Session 2 Capstone Project | Data Cleaning 48:16
- Session 3 Capstone Project | Feature Engineering | DSMP 51:44
- Session 4 on Capstone Project | EDA | DSMP 01:55:54
- K Nearest Neighbors Part 4 - Decision Boundary for Knn 40:37
- Session 6 on Capstone Project | Missing Value Imputation 36:18
- Session 7 on Capstone Project | Feature Selection 01:30:00
- Session 5 on Capstone Project | Outlier Detection and Removal 33:53
- Session 8 on Capstone Project Model Selection Productionalization 01:56:07
- Session 9 on Capstone Project Building the Analytics Module 01:38:30
- Session 10 on Capstone Project Building the Recommender System 01:33:04
- Session 11 on Capstone Project Building the Recommender System Part 2 01:13:38
- Session 12 on Capstone Project Building the Insights Module 01:16:34
- Session 13 on Capstone Project | Deploying the application on AWS 01:26:11
- Plotly tutorial for beginners | Graph Objects 01:47:44
- Deploying a Dash application on Heroku in under 15 minutes | Step by Step Tutorial 14:47
- Dash basic introduction | Week 9 | DSMP 29:56
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