Pinned Repositories
Airline_Data_Project
Airline_Phase-1_Project
BAZO1
open projects
ds-ntl-oct-10-23
dsc-ab-testing-lab
Phase 2 - A/B Testing - Lab
dsc-accessing-data-with-pandas-lab
Phase 1 - Accessing Data within Pandas - Lab
dsc-applying-gradient-descent-lab
Phase 3 - Applying Gradient Descent - Lab
dsc-bias-variance-trade-off-lab
Phase 3 - Bias-Variance Tradeoff - Lab
dsc-categorical-variables-regression-lab
Phase 3 - Dealing with Categorical Variables - Lab
dsc-central-limit-theorem-lab
Phase 2 - Central Limit Theorem - Lab
juved's Repositories
juved/dsc-filtering-lab-v2-4
Phase 2 - Filtering Data with SQL - Lab
juved/dsc-more-on-missing-data-lab
More on Missing Data - Lab
juved/dsc-accessing-data-with-pandas-lab
Phase 1 - Accessing Data within Pandas - Lab
juved/dsc-tuning-neural-networks-with-regularization-lab-v2-1
Phase 4 - Tuning Neural Networks with Regularization - Lab
juved/dsc-deeper-neural-networks-lab
Phase 4 - Deeper Neural Networks - Lab
juved/dsc-introduction-to-keras-lab
Phase 4 - Keras - Lab
juved/dsc-introduction-to-neural-networks-lab
Phase 4 - Introduction to Neural Networks - Lab
juved/dsc-word-vectorization-lab
Phase 4 - Word Vectorization - Lab
juved/dsc-hierarchical-agglomerative-clustering-codealong
Phase 4 - K-means Clustering - Lab
juved/dsc-xgboost-lab
Phase 4 - XGBoost - Lab
juved/dsc-gradient-boosting-lab
Phase 4 - Gradient Boosting - Lab
juved/dsc-gridsearchcv-lab
Phase 4 - GridSearchCV - Lab
juved/dsc-tuning-regression-trees-lab
Phase 3 - Regression Trees and Model Optimization - Lab
juved/dsc-roc-curves-and-auc-lab
Phase 3 - ROC Curves and AUC - Lab
juved/dsc-evaluating-logistic-regression-models-lab
Phase 3 - Evaluating Logistic Regression Models - Lab
juved/dsc-coding-logistic-regression-from-scratch
Phase 3 - Coding Logistic Regression From Scratch - Lab
juved/dsc-gradient-descent-lab
Phase 3 - Gradient Descent - Lab
juved/dsc-ridge-and-lasso-regression-lab
Phase 3 - Ridge and Lasso Regression - Lab
juved/dsc-bias-variance-trade-off-lab
Phase 3 - Bias-Variance Tradeoff - Lab
juved/dsc-cross-validation-lab
Phase 3 - Introduction to Cross-Validation - Lab
juved/dsc-polynomial-regression-lab-v2-5
Phase 3 - Polynomial Regression - Lab
juved/dsc-linear-transformations-lab
Phase 3 - Linear Transformations - Lab
juved/dsc-multicollinearity-of-features-lab
Phase 2 - Multicollinearity of Features - Lab
juved/dsc-two-sample-t-tests-lab
Phase 2 - Two Sample T-Test - Lab
juved/dsc-confidence-intervals-lab
Phase 2 - Confidence Intervals - Lab
juved/dsc-running-jupyter-locally-lab
juved/dsc-coefficient-of-determination-lab
Phase 2 - Coefficient of Determination - Lab
juved/dsc-ml-interp-blackbox-models
Phase 4 - Machine Learning Interpretability - Black Box Models
juved/dsc-ml-interp-whitebox-models
Phase 4 - Machine Learning Interpretability - White-Box Models -Lesson on white box models in machine learning interpretability
juved/dsc-ethics-cs-fb-emotion-exp
Phase 2 - Data Ethics - Case Study: Facebook Emotion Experiment