davidtchouta
MLOps/Data Scientist/Analyst Economist/Finance/Developer(VBA, R, Python, Java, C#, C++, SQL...),, Hadoop, Spark, NoSQL, etc.
Geneva
Pinned Repositories
Financial-Modelling
Some Python and VBA codes for options and bonds valuation : 1) Binomial method of options valuation 2) Black and Scholes method options valuation 3) Black and Scholes method greeks valuation 4) Monte Carlo method options valuation (Antithetical method and pure random) 5) Monte Carlo method options greeks valuation 6) Bond valuation 7) Implied Volatility 8) VaR / CVaR valuation
Fargate
Deploy ML flask App in AWS Fargate
AzureMLDeploy
cifolder
Computation-of-Overall-accuracy
Here, we find the best cutoff and the most relevant predictors to classify iris flowers. So, we need to compute the overall accuracy for each cutoff and pick the best one.
Computation-of-RMSE-Root-Mean-Square-Error-
Here, we compute the RMSE as metric of our linear regression model when the sample lenght grows, presence of correlation between our predictors or independant variable and when the number of predictors grows.
computervision
YOLOv8 in action
DeployMLonGCP
How to deploy ML on GCP
Devops
All resources needed to begin with confidence in DevOps
DVC_Project
My DVC project for ML and DL
davidtchouta's Repositories
davidtchouta/RAG
RAG app
davidtchouta/Devops
All resources needed to begin with confidence in DevOps
davidtchouta/cifolder
davidtchouta/langchain_book
davidtchouta/mlc1
davidtchouta/moyenne
davidtchouta/computervision
YOLOv8 in action
davidtchouta/llm
Build and Train a Large Language Model for text generation (
davidtchouta/pycaretmlflow
Pycaret and MLFlow
davidtchouta/zenmlgcolab
Build a ML Pipeline with ZenML on Google Colab
davidtchouta/streamlitapp_render
ML pipeline build and deploy using pycaret, streamlit and Render
davidtchouta/gradiohugging
Deploying a gradio app on Hugging Face
davidtchouta/sagemaker
ML in AWS Sagemaker
davidtchouta/AzureMLDeploy
davidtchouta/DeployMLonGCP
How to deploy ML on GCP
davidtchouta/Fargate
Deploy ML flask App in AWS Fargate
davidtchouta/ZenML_Deployment
davidtchouta/mlflow
Mlflow project with Zenml
davidtchouta/DVC_Project
My DVC project for ML and DL
davidtchouta/ModelDeployment
Deploy a ML project
davidtchouta/Computation-of-Overall-accuracy
Here, we find the best cutoff and the most relevant predictors to classify iris flowers. So, we need to compute the overall accuracy for each cutoff and pick the best one.
davidtchouta/Computation-of-RMSE-Root-Mean-Square-Error-
Here, we compute the RMSE as metric of our linear regression model when the sample lenght grows, presence of correlation between our predictors or independant variable and when the number of predictors grows.
davidtchouta/Introduction-to-Machine-Learning-Concepts
Preprocessing data : Center and scale data, histogram, nearZeroVar, Correlation, Imbalanced samples. Machine Learning : train and test sets, Random Forest model, Decision trees, Boosting model : xGBoost, SVM, Neural Networks
davidtchouta/Eclipse-Java-EE
Mon dossier Eclipse Java EE
davidtchouta/gitTestClermontFerrand
Mon git de test en formation
davidtchouta/Financial-Modelling
Some Python and VBA codes for options and bonds valuation : 1) Binomial method of options valuation 2) Black and Scholes method options valuation 3) Black and Scholes method greeks valuation 4) Monte Carlo method options valuation (Antithetical method and pure random) 5) Monte Carlo method options greeks valuation 6) Bond valuation 7) Implied Volatility 8) VaR / CVaR valuation