MoRebaie / Sequences-Time-Series-Prediction-in-Tensorflow
This Repo includes my work in the Sequences and Time Series course of the Tensorflow in Practice Specialization by deeplearning.ai at Coursera
☆33Updated 4 years ago
Related projects: ⓘ
- Hands-On Ensemble Learning with Python, published by packt publishing☆54Updated last year
- Address imbalance classes in machine learning projects.☆35Updated 3 years ago
- My notes for coursera course AI TensorFlow in Practice Specialization.☆60Updated 7 months ago
- ☆58Updated this week
- Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc☆23Updated 2 years ago
- Time Series Analysis of Internation Air Passengers☆39Updated 5 years ago
- Feature Selection in Machine Learning using Python All Code☆34Updated 5 years ago
- ☆61Updated this week
- Selection of some interesting Kaggle Kernels☆50Updated 3 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆67Updated last year
- Individual household electric-power consumption Data Set (LSTM) [tutorial]☆85Updated 6 years ago
- End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.☆67Updated last year
- Deep Learning Implementations☆18Updated 3 years ago
- The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.☆19Updated 3 years ago
- Time series forecasting of some Indian Restaurant☆25Updated 3 years ago
- The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoen…☆53Updated 2 years ago
- A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in th…☆29Updated 4 years ago
- Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee☆20Updated 6 years ago
- ☆48Updated this week
- A practical approach to learning machine learning.☆21Updated 5 years ago
- Genetic Algorithm for Neural Network Architecture and Hyperparameter Optimization and Neural Network Weight Optimization with Genetic Alg…☆11Updated 5 years ago
- In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…☆27Updated 4 years ago
- Building simple ML apps with Streamlit☆24Updated 3 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆33Updated 4 years ago
- Solutions to the 'Applied Machine Learning In Python' Coursera course exercises☆51Updated 3 years ago
- Different clustering approaches applied on different problemsets☆39Updated 4 years ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆110Updated last week
- Repository for the Applied Data Science with Python Specialization from University of Michigan on Coursera☆20Updated 5 years ago
- Understanding time series forecasting☆65Updated 3 years ago
- Analysis with Covid-19 data☆60Updated 3 years ago