mennatallah644
I'm a Mid Level Machine learning engineer, I have more than 2 years experience in ML/DL field.
Pinned Repositories
Arabic-Sentiment-Analysis
sentiment analysis models for Arabic tweets to analyze Twitter comments as having positive, negative or neutral sentiments.
Communicate-Data-Findings
Udacity Data Analyst NanoDegree Project 7
datasciencecoursera
datasharing
The Leek group guide to data sharing
machine-learning
Content for Udacity's Machine Learning curriculum
Retail_Analysis_with_Walmart_Data
One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc. Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.
Spelling-Detection-and-Correction
Spelling mistake detection and correction (Classic NLP Approach / Machine Learning Approach)
Tacotron-2
DeepMind's Tacotron-2 Tensorflow implementation
mennatallah644's Repositories
mennatallah644/Spelling-Detection-and-Correction
Spelling mistake detection and correction (Classic NLP Approach / Machine Learning Approach)
mennatallah644/datasciencecoursera
mennatallah644/Arabic-Sentiment-Analysis
sentiment analysis models for Arabic tweets to analyze Twitter comments as having positive, negative or neutral sentiments.
mennatallah644/Communicate-Data-Findings
Udacity Data Analyst NanoDegree Project 7
mennatallah644/datasharing
The Leek group guide to data sharing
mennatallah644/machine-learning
Content for Udacity's Machine Learning curriculum
mennatallah644/Retail_Analysis_with_Walmart_Data
One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc. Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.
mennatallah644/Tacotron-2
DeepMind's Tacotron-2 Tensorflow implementation