Data-science-and-AI-ML

A list of projects I have done professionally and as time pass

ACO observations- have experience working with these signals as time series before and only. Here raw data is aggregation VIN (vehicle identification number) and I have taken max, min and average statistics of ACO obtained from Vehicle over a period of time (see synthetic data for more details). performed EDA on this data - analyzing for road type on which high ACOs are observed, VIN count in high ACO zone (90th percentile)
A bunch of forecasting time series projects - Understanding time series in any industry to analyze future performances, profits, claims, costs etc. We cover how to use ML models and clean data preparation strategies lagged features, lead features, trend, seasonality utilization, using moving average and statistical quantities as features to improve model performance and different models like linear regression, XGBoost, etc.
Implement a machine learning pipeline that includes various encoding techniques (Label Encoding, One-Hot Encoding, and Ordinal Encoding), handles missing data through imputation and dropping values, and integrates model training using ColumnTransformer and pipeline methods.

Name		Name	Last commit message	Last commit date
Latest commit History 94 Commits
164-maximum-gap		164-maximum-gap
209-minimum-size-subarray-sum		209-minimum-size-subarray-sum
264-ugly-number-ii		264-ugly-number-ii
409-longest-palindrome		409-longest-palindrome
455-assign-cookies		455-assign-cookies
SQL-Leetcode-50		SQL-Leetcode-50
randomForestBrakeApplication		randomForestBrakeApplication
sql 50 leetcode problems		sql 50 leetcode problems
ACO observations EDA		ACO observations EDA
Braking_Prediction_Model_(Random_Forest_with_GridSearchCV).ipynb		Braking_Prediction_Model_(Random_Forest_with_GridSearchCV).ipynb
Forecasting-time-series-as-features.ipynb		Forecasting-time-series-as-features.ipynb
ML-encoding-strategies-categorical-variables.ipynb		ML-encoding-strategies-categorical-variables.ipynb
ML-pipelines.ipynb		ML-pipelines.ipynb
README.md		README.md
Repeated Braking events		Repeated Braking events
ar.csv		ar.csv
book_sales.csv		book_sales.csv
forecasting-hybrid-models.ipynb		forecasting-hybrid-models.ipynb
forecasting-linear-regression-with-time-series.ipynb		forecasting-linear-regression-with-time-series.ipynb
forecasting-seasonality_2.ipynb		forecasting-seasonality_2.ipynb
forecasting-trend.ipynb		forecasting-trend.ipynb
forecasting-with-machine-learning.ipynb		forecasting-with-machine-learning.ipynb
nlp-word-embedding-approaches.ipynb		nlp-word-embedding-approaches.ipynb
rna-labeling.ipynb		rna-labeling.ipynb
synthetic_aco_data.csv		synthetic_aco_data.csv
train.csv.zip		train.csv.zip

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