Pinned Repositories
Automated-Matching-of-Patients-to-Clinical-Trials
Automated Matching of Patients to Clinical Trials: A patient-centric, Natural Language Processing Approach for Pediatric Leukemia
blog
Code and data for my blogs
codes
important general codes
cookbook
A repository of machine learning codes written for re-usability
cookbook-code
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
DataProcessing_Python
Basic data processing functions
diabetes-prediction-app
Streamlit Web App to predict the onset of diabetes based on diagnostic measures
driverlessai-recipes
Recipes for Driverless AI
Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
manishn1202's Repositories
manishn1202/Automated-Matching-of-Patients-to-Clinical-Trials
Automated Matching of Patients to Clinical Trials: A patient-centric, Natural Language Processing Approach for Pediatric Leukemia
manishn1202/blog
Code and data for my blogs
manishn1202/codes
important general codes
manishn1202/cookbook
A repository of machine learning codes written for re-usability
manishn1202/cookbook-code
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
manishn1202/DataProcessing_Python
Basic data processing functions
manishn1202/diabetes-prediction-app
Streamlit Web App to predict the onset of diabetes based on diagnostic measures
manishn1202/driverlessai-recipes
Recipes for Driverless AI
manishn1202/Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
manishn1202/fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
manishn1202/fecon236
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
manishn1202/financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
manishn1202/machine-learning-for-trading
Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading
manishn1202/Flowise
Drag & drop UI to build your customized LLM flow
manishn1202/FlowiseAI-Railway
manishn1202/front-end-provider
manishn1202/llm-applications
A comprehensive guide to building RAG-based LLM applications for production.
manishn1202/LLMops
manishn1202/mlops
learning end to end mlops
manishn1202/My-Data-Science-Projects
This folder contains all of my Data Science Projects
manishn1202/nlp-text-mining-working-examples
Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark
manishn1202/padrugsv6-mzcbuf
Repository created autonomously by BlitzCode
manishn1202/padrugsv7-qt0djh
Repository created autonomously by BlitzCode
manishn1202/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
manishn1202/SENN
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
manishn1202/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
manishn1202/syntheticmass
manishn1202/Test
manishn1202/The-Grand-Complete-Data-Science-Materials