http://shahid0120.github.io/miscellaneous/first-post/ 2023-12-15T00:00:00+11:00 http://shahid0120.github.io/review/CS290-review/ 2024-01-01T00:00:00+11:00 http://shahid0120.github.io/inspiration/David-Goggins/ 2024-01-05T00:00:00+11:00 http://shahid0120.github.io/machine%20learning/machine-learning-curriculum/ 2024-01-11T00:00:00+11:00 http://shahid0120.github.io/machine%20learning/functional-sequential-api/ 2024-01-24T00:00:00+11:00 http://shahid0120.github.io/machine%20learning/how-to-learn-transformers/ 2024-01-29T00:00:00+11:00 http://shahid0120.github.io/statistics/Olympaid-Level-Counting/ 2024-03-27T00:00:00+11:00 http://shahid0120.github.io/statistics/Linear-Search-Methods/ 2024-03-30T00:00:00+11:00 http://shahid0120.github.io/random/improving-typing-speed/ 2024-05-17T00:00:00+10:00 http://shahid0120.github.io/random/distribution-link-datascience-ml/ 2024-05-18T00:00:00+10:00 http://shahid0120.github.io/ml/Estimate-Probability-from-data/ 2024-05-21T00:00:00+10:00 http://shahid0120.github.io/ml/hierarchial-clustering/ 2024-05-24T00:00:00+10:00 http://shahid0120.github.io/ml/evluating-clustering-model/ 2024-05-25T00:00:00+10:00 http://shahid0120.github.io/ml/Imputation/ 2024-05-28T00:00:00+10:00 http://shahid0120.github.io/ml/sampling-inference-learning/ 2024-05-29T00:00:00+10:00 http://shahid0120.github.io/ml/episdoe-two-datasoc-ibm/ 2024-05-31T00:00:00+10:00 http://shahid0120.github.io/ml/episode-one-data-scoc-ibm/ 2024-05-31T00:00:00+10:00 http://shahid0120.github.io/datathons/Atlassian-Allianz-data-soc/ 2024-08-06T00:00:00+10:00 http://shahid0120.github.io/data%20visualisation/Data-viz-review-the-good-the-bad-the-biased/ 2024-12-08T00:00:00+11:00 http://shahid0120.github.io/portfolio%20managment/SIM/ 2025-07-29T00:00:00+10:00 http://shahid0120.github.io/improgress/2023-05-25-naive-bayes-logistic-regression/ http://shahid0120.github.io/improgress/2024-01-07-nba-risk-injury/ http://shahid0120.github.io/improgress/2024-02-02-world-without-unicode/ http://shahid0120.github.io/improgress/2024-05-03-t-sql-introduction/ http://shahid0120.github.io/improgress/2024-05-05-RSS-MLE/ http://shahid0120.github.io/improgress/2024-05-05-discriminative-generative-learning/ http://shahid0120.github.io/improgress/2024-05-15-Overview-of-staticial-theory-learning/ http://shahid0120.github.io/improgress/2024-05-15-tradeoffs-methods/ http://shahid0120.github.io/improgress/2024-05-29-Confidence-Intervals-Credible-Intervals/ http://shahid0120.github.io/improgress/2024-06-12-identifying-when-to-use-pca/ http://shahid0120.github.io/improgress/2024-07-23-optiver-code-review-grandmaster-kaggle/ http://shahid0120.github.io/about/ http://shahid0120.github.io/categories/ http://shahid0120.github.io/ http://shahid0120.github.io/ http://shahid0120.github.io/portfolio/ http://shahid0120.github.io/posts/ http://shahid0120.github.io/tags/ http://shahid0120.github.io/improgress/2024-05-18-weak-strong-law-large-numbers/ http://shahid0120.github.io/improgress/2024-07-23.xgboost/ http://shahid0120.github.io/page2/ http://shahid0120.github.io/page3/ http://shahid0120.github.io/page4/