Toadoum
NLP & SWE Enthusiast (Trying to become a Data Scientist/ML Engineer) tsakayo@aimsammi.org
BataziaLausanne
Pinned Repositories
alx-low_level_programming
C low level programming
alx-system_engineering-devops
American-Sign-Language-detection-using-CNN
Data-Insight-Certification-Data-Science-program-
This repository have all my jupyter notebooks for assignments and projects for Data Insight certification
Hybrid-AR-LSTM-model-for-prediction-of-birth
Although ARIMA, AR essentially for linear update models plus some noise thrown in and LSTM essentially for a nonlinear time series model are well known in the literature we have applied them in the data. Based on the fact that the LSTM outperforms the AR then the AR outperform the ARIMA according to their results, we have came with an idea of combining the two best models AR and LSTM in single architecture that that will take advantage of the two models and capture linear and nonlinear phenomena because it has both linear and nonlinear modeling capabilities.
Linear-Regression-with-Regularization-and-Cross-Validation-from-Scratch
LSTM-model-with-python
The model is to predict birth
Ngambay-French-Neural-Machine-Translation-sba_fr_v1-
Sentiment-Analysis-with-Bernoulli-Naive-Bayes
Text-Classification-using-Fully-Connected-Neural-Network
Toadoum's Repositories
Toadoum/Hybrid-AR-LSTM-model-for-prediction-of-birth
Although ARIMA, AR essentially for linear update models plus some noise thrown in and LSTM essentially for a nonlinear time series model are well known in the literature we have applied them in the data. Based on the fact that the LSTM outperforms the AR then the AR outperform the ARIMA according to their results, we have came with an idea of combining the two best models AR and LSTM in single architecture that that will take advantage of the two models and capture linear and nonlinear phenomena because it has both linear and nonlinear modeling capabilities.
Toadoum/American-Sign-Language-detection-using-CNN
Toadoum/Resources
Best resources to learn ML, DL, Aptitude, Probability, Statistics etc.
Toadoum/Simulink-models-for-PV-systems
Toadoum/Linear-Regression-with-Regularization-and-Cross-Validation-from-Scratch
Toadoum/LSTM-model-with-python
The model is to predict birth
Toadoum/BD4D-Assignments
Five days workshop in big data analytics with python
Toadoum/learn-python3
Jupyter notebooks for teaching/learning Python 3
Toadoum/Materials
This repository contains all the materials and slides from the presentation on introduction to git, github, linux and an introduction to python.
Toadoum/Neural-Network-and-Deep-Learning-Coursera
By Andrew Ng
Toadoum/perceptron
This repository is about Perceptron
Toadoum/test-live-coding
Toadoum/the-breast-cancer-dataset
Import the breast cancer dataset from scikit-learn and perform a classification on it using the KNeighborsClassifier (k-NN) for k = 1, 2, . . . , 10. For each value of k record the training and testing errors (using the in-built accuracy score of the k-NN). Then plot both sets of errors on one plot with the right legend.
Toadoum/Time-series-forecasting-AR-ARIMA-
Prediction of birth using ARIMA and AR