Curriculum
- 3 Sections
- 68 Lessons
- Lifetime
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- Introduction1
- Python Section38
- 2.1Day-1 👉 Environment Setup70 Minutes
- 2.2Day-2 👉 Lists in Python (Part-1)90 Minutes
- 2.3Day-3 👉 Lists in Python (Part-2)90 Minutes
- 2.4Day-4 👉 Flow Control in Python (Part-1)44 Minutes
- 2.5Day-5 👉 Flow Control in Python (Part-2)90 Minutes
- 2.6Day-6 👉 Flow Control in Python (Part-3)90 Minutes
- 2.7Day-7 👉 A Short Program: Guess the Number88 Minutes
- 2.8Day-8 👉 Functions in Python80 Minutes
- 2.9PDSML Quiz-1 👉 Python Basics10 Minutes22 Questions
- 2.10Day-9 👉 Data Preprocessing in Python (Part-1)85 Minutes
- 2.11Day-10 👉 Data Preprocessing in Python (Part-2)96 Minutes
- 2.12Day-11 👉 Data Preprocessing in Python (Part-3)90 Minutes
- 2.13Day-12 👉 Data Preprocessing in Python (Part-4)80 Minutes
- 2.14PDSML Quiz-2 👉 Data Preprocessing in Python10 Minutes10 Questions
- 2.15Day-13 👉 Simple Linear Regression in Python (Part-1)60 Minutes
- 2.16Day-14 👉 Simple Linear Regression in Python (Part-2)90 Minutes
- 2.17Day-15 👉 Simple Linear Regression in Python (Part-3)85 Minutes
- 2.18Day-16 👉 Multiple Linear Regression in Python (Part-1)83 Minutes
- 2.19Day-17 👉 Multiple Linear Regression in Python (Part-2)52 Minutes
- 2.20Day-18 👉 Multiple Linear Regression in Python (Part-3)94 Minutes
- 2.21Day-19 👉 Multiple Linear Regression in Python (Part-4)78 Minutes
- 2.22Day-20 👉 Multiple Linear Regression in Python (Part-5)60 Minutes
- 2.23Day-21 👉 Logistic Regression in Python (Part-1)64 Minutes
- 2.24Day-22 👉 Logistic Regression in Python (Part-2)73 Minutes
- 2.25PDSML Quiz-3 👉 Supervised Learnings in Python5 Minutes10 Questions
- 2.26Day-23 👉 K-Means Clustering in Python (Part-1)57 Minutes
- 2.27Day-24 👉 K-Means Clustering in Python (Part-2)79 Minutes
- 2.28Day-25 👉 K-Means Clustering in Python (Part-3)90 Minutes
- 2.29Day-26 👉 Principal Component Analysis – PCA (Part-1)82 Minutes
- 2.30Day-27 👉 Principal Component Analysis – PCA (Part-2)81 Minutes
- 2.31Day-28 👉 Principal Component Analysis – PCA (Part-3)90 Minutes
- 2.32PDSML Quiz-4 👉 Unsupervised Learnings in Python5 Minutes10 Questions
- 2.33Day-29 👉 Boxplot in Python Using Matplotlib76 Minutes
- 2.34Day-30 👉 Histogram and Bar Plot in Python Using Matplotlib77 Minutes
- 2.35Day-31 👉 Line Plot in Python Using Matplotlib75 Minutes
- 2.36Day-32 👉 Styling Plots for Publication with Matplotlib (Part-1)60 Minutes
- 2.37Day-33 👉 Styling Plots for Publication with Matplotlib (Part-2)84 Minutes
- 2.38PDSML Quiz-5 👉 Data Visualization in Python5 Minutes10 Questions
- R Section38
- 3.1Day-1 👉 Environment Setup85 Minutes
- 3.2Day-2 👉 Data Preprocessing in R (Part-1)87 Minutes
- 3.3Day-3 👉 Data Preprocessing in R (Part-2)102 Minutes
- 3.4Day-4 👉 Data Preprocessing in R (Part-3)91 Minutes
- 3.5RDSML Quiz-1 👉 Data Preprocessing in R8 Minutes8 Questions
- 3.6Day-5 👉 Simple Linear Regression in R (Part-1)90 Minutes
- 3.7Day-6 👉 Simple Linear Regression in R (Part-2)90 Minutes
- 3.8Day-7 👉 Simple Linear Regression in R (Part-3)60 Minutes
- 3.9Day-8 👉 Multiple Linear Regression in R (Part-1)64 Minutes
- 3.10Day-9 👉 Multiple Linear Regression in R (Part-2)72 Minutes
- 3.11Day-10 👉 Multiple Linear Regression in R (Part-3)77 Minutes
- 3.12Day-11 👉 Decision Tree Regression in R (Part-1)77 Minutes
- 3.13Day-12 👉 Decision Tree Regression in R (Part-2)90 Minutes
- 3.14Day-13 👉 Decision Tree Regression in R (Part-3)88 Minutes
- 3.15Day-14 👉 Decision Tree Regression in R (Part-4)88 Minutes
- 3.16Random Forest Regression in R34 Minutes
- 3.17RDSML Quiz-2 👉 Regressions in R5 Minutes10 Questions
- 3.18Day-15 👉 Decision Tree Classification in R90 Minutes
- 3.19Day-16 👉 Random Forest Classification in R71 Minutes
- 3.20Day-17 👉 Classification for Polytomous Dependent Variable in R78 Minutes
- 3.21Day-18 👉 Naive Bayes in R (Part-1)52 Minutes
- 3.22Day-19 👉 Naive Bayes in R (Part-2)83 Minutes
- 3.23RDSML Quiz-3 👉 Classifications in R5 Minutes10 Questions
- 3.24Day-20 👉 Natural Language Processing (NLP) in R (Part-1)75 Minutes
- 3.25Day-21 👉 Natural Language Processing (NLP) in R (Part-2)69 Minutes
- 3.26Day-22 👉 Natural Language Processing (NLP) in R (Part-3)82 Minutes
- 3.27Day-23 👉 Natural Language Processing (NLP) in R (Part-4)90 Minutes
- 3.28Day-24 👉 Principal Component Analysis – PCA (Part-1)46 Minutes
- 3.29Day-25 👉 Principal Component Analysis (PCA) in R (Part-2)46 Minutes
- 3.30Day-26 👉 Principal Component Analysis (PCA) in R (Part-3)51 Minutes
- 3.31Day-27 👉 Principal Component Analysis (PCA) in R (Part-4)57 Minutes
- 3.32Day-28 👉 Principal Component Analysis (PCA) in R (Part-5)50 Minutes
- 3.33Day-29 👉 K-Fold Cross Validation Implementation in R93 Minutes
- 3.34Day-30 👉 XGBoost in R (Part-1)75 Minutes
- 3.35Day-31 👉 XGBoost in R (Part-2)60 Minutes
- 3.36Day-32 👉 Boxplot and Histogram in R83 Minutes
- 3.37Day-33 👉 Line Plot and Styling Plots for Publications in R88 Minutes
- 3.38RDSML Quiz-4 👉 The final Quiz10 Minutes10 Questions