sawsan zaky's Projects
Credit risk modeling is the place where data science and fintech meet. It is one of the most important activities conducted in a bank, with the most attention since the recession. At present, it is the only comprehensive credit risk modeling course in Python available online β taking you from preprocessing, through probability of default (PD), loss given default (LGD) and exposure at default (EAD) modeling, all the way to calculating expected loss (EL).
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Volatility is an essential concept in finance, which is why GARCH models in Python are a popular choice for forecasting changes in variance, specifically when working with time-series data that are time-dependant.
evaluate basic portfolio risk and returns . fully automate portfolio (Banking )construction and management processes. Discover what factors are driving portfolio returns, construct market-cap weighted equity portfolios,forecast and hedge market risk via scenario generation.
Datacamp Project ....... can see by https://projects.datacamp.com/projects/441
implement algorthims (adam&adagard&RMSprob) by Dataset
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior.
develop a model that takes a text of an address and verify if this address is in Cairo governorate or not with a confidence threshold of your prediction.
it's required to predict the Severity of a car crash given info about the crash, e.g., location. This is the getting started notebook.
we will look into the method to convert XML to JSON in Python. The JSON format is simpler to read and write than XML format; its compact style and lightweight also improve system performance, especially in RESTful APIs. As JSON is better than XML in many aspects, it is used as a replacement to XML in many fields.
interactive Dashboard
Introduction to Neural Networks with Scikit-Learn
This is Dr. Ignaz Semmelweis, a Hungarian physician born in 1818 and active at the Vienna General Hospital. If Dr. Semmelweis looks troubled it's probably because he's thinking about childbed fever: A deadly disease affecting women that just have given birth. He is thinking about it because in the early 1840s at the Vienna General Hospital as many as 10% of the women giving birth die from it. He is thinking about it because he knows the cause of childbed fever: It's the contaminated hands of the doctors delivering the babies. And they won't listen to him and wash their hands! In this notebook, we're going to reanalyze the data that made Semmelweis discover the importance of handwashing. Let's start by looking at the data that made Semmelweis realize that something was wrong with the procedures at Vienna General Hospital.
Have a set of features extracted from the shape of the beans in images and it's required to predict the type of each bean. There are 7 bean types in the dataset.
turtle to draw lines
to discover if Netflixβs movies are getting shorter over time and which guest stars appear in the most popular episode of "The Office",
Java project for machine learning and data exploration of "Wuzzuf_Jobs" dataset using smile library and KMeans unsupervised algorithm.
* FAKE NEWS * libraries such as NLTK *the foundation to process and parse text as you move forward
Build recommendation engine. grips with the two most common systems, collaborative filtering and content-based filtering. Next, measure similarities like the Jaccard distance and cosine similarity, and how to evaluate the quality of recommendations on test data using the root mean square error (RMSE). built movie recommendation engine that are systems for any industry.
NLP course for ITI AI-Pro track