cameronbronstein / Project-4-New-Light-Technologies-Client-ProjectLinks
☆12Updated 6 years ago
Alternatives and similar repositories for Project-4-New-Light-Technologies-Client-Project
Users that are interested in Project-4-New-Light-Technologies-Client-Project are comparing it to the libraries listed below
Sorting:
- Using Explainable Artificial Intelligence (XAI) for sentiment analysis (NLP)☆15Updated 3 years ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆29Updated 5 years ago
- Course materials for introductory data science☆62Updated 2 years ago
- Causal Analysis of Customer Churn using DeepLearning☆15Updated 3 years ago
- NLP projects☆12Updated 4 years ago
- Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP☆82Updated 3 years ago
- Offered by Deeplearning.ai via Coursera☆31Updated 5 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Python book☆14Updated 6 months ago
- ☆25Updated 6 years ago
- Analysis for Customer Segmentation☆72Updated 5 years ago
- Machine Learning Engineering with MLflow, published by Packt☆117Updated last month
- Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.☆18Updated 4 years ago
- Generate robust counterfactual explanations for machine learning models☆16Updated 2 years ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆20Updated 4 years ago
- Slides, videos and other resources from MLT Talks☆109Updated 5 years ago
- ☆92Updated 4 years ago
- References to the Medium articles☆87Updated 2 years ago
- Machine Learning Engineering with Python☆185Updated last month
- Experiments with experimental rule-based models to go along with imodels.☆17Updated last week
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep le…☆134Updated 5 years ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Data Science Portfolio☆74Updated 4 years ago
- An Interactive Approach to Understanding Deep Learning with Keras☆51Updated last month
- Responsible AI knowledge base☆108Updated 2 years ago
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 4 years ago
- ☆14Updated 2 years ago
- ☆27Updated 5 years ago
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…☆180Updated 2 years ago