LtDanK's starred repositories
awesome-courses
:books: List of awesome university courses for learning Computer Science!
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
hackingtool
ALL IN ONE Hacking Tool For Hackers
hs-airdrop
Decentralized airdrop to open source developers
skiff-apps
Privacy-first, end-to-end encrypted Mail, Pages, Drive, and Calendar.
Aurora-Icloud-bypass
Free set of tools and scripts for unlocking older IOS devices using checkra1n and python
nostr-wallet-connect
Nostr Wallet Connect (NIP-47) application to allow apps to connect to your node
bitcoin-connect
Connecting lightning wallets to your webapp has never been easier. Enable WebLN in all browsers with a single button
bookmarks-to-notion
A sample app that exports your bookmarks to a Notion page
sui-move-intro-course
Introductory Course to the Sui Move language
obsidian-text-extractor
A (companion) plugin to facilitate the extraction of text from images (OCR) and PDFs.
example-scripts
A collection of scripts and notebooks to help you get started quickly.
Power-of-AI
This repository contains useful tools to maximise your day to day productivity using AI and latest tools available in the market
Analyzing-Historical-Stock-Revenue-Data-and-Building-a-Dashboard
For this project, you will assume the role of a Data Scientist / Data Analyst working for a new startup investment firm that helps customers invest their money in stocks. Your job is to extract financial data like historical share price and quarterly revenue reportings from various sources using Python libraries and webscraping on popular stocks. After collecting this data you will visualize it in a dashboard to identify patterns or trends. The stocks we will work with are Tesla, Amazon, AMD, and GameStop. Dashboard Analytics Displayed A dashboard often provides a view of key performance indicators in a clear way. Analyzing a data set and extracting key performance indicators will be practiced. Prompts will be used to support learning in accessing and displaying data in dashboards. Learning how to display key performance indicators on a dashboard will be included in this assignment. We will be using Plotly in this course for data visualization and is not a requirement to take this course. Watson Studio In the Python for Data Science, AI and Development course you utilized Skills Network Labs for hands-on labs. For this project you will use Skills Network Labs and Watson Studio. Skills Network Labs is a sandbox environment for learning and completing labs in courses. Whereas Watson Studio, a component of IBM Cloud Pak for Data, is a suite of tools and a collaborative environment for data scientists, data analysts, AI and machine learning engineers and domain experts to develop and deploy your projects. Review criteria There are two hands-on labs on Extracting Stock Data and one assignment to complete. You will be judged by completing two quizzes and one peer review assignment. The quizzes will test you based on the output of the hands-on labs. In the peer review assignment you will share and take screen shots of the outcomes of your assignment.
Finance-Sentiment-Analysis
Financial and economic news is continuously monitored by financial market participants. According to the efficient market hypothesis, all past information is reflected in stock prices and new information is instantaneously absorbed in determining future stock prices. Hence, prompt extraction of positive or negative sentiments from news is very important for investment decision-making by traders, portfolio managers and investors. Sentiment analysis models can provide an efficient method for extracting actionable signals from the news. However, financial sentiment analysis is challenging due to domain-specific language and unavailability of large labeled datasets. General sentiment analysis models are ineffective when applied to specific domains such as finance. To overcome these challenges, an evaluation platform which is used to assess the effectiveness and performance of various sentiment analysis approaches, based on combinations of text representation methods and machine-learning classifiers.
LSTM-stock-trend-forecast
Currently, social and economic activities are active, and the direction of the stock market is an important indicator of economic development. Stocks are the most important part of the financial market. Changes under the superimposed influence of many factors have become a subject of long-term research by scholars. Whether it is Buffett, who is known as the stock god, or Soros, who is a wealthy country, or Peter Lynch, who can outperform S&P almost every year, behind every thrilling name, there is a matter related to the lifeline of the national economy. ,stock. Top investors will deal with stocks whether they use the primary or secondary markets. Entering the explosive period of development of artificial intelligence and learning, prompting the stock to enter a new stage. Based on stock market data, it is of great significance for both regulators and stock traders to reflect the status and trend of the stock market in a timely manner. When investors choose stocks, whether it is based on fundamentals or technical indicators, investors need existing data to predict the future ups and downs of stocks. The stock market is unpredictable and the stock market is risky. Investment needs to be cautious and more in-depth. People's minds, and accurate prediction of the trend of stock prices can reduce investment risks. The core content of the topic is to analyze and analyze stock market data, use python and other tools to make model predictions, study algorithmic models to predict stock trends, and visually display stocks' rise and fall, and company profits.
ROI-Calculator
This is a object oriented program that will calculate your ROI (return on investment) for anything you're investing in! It will prompt you and take in your input(s) to calculate your investments return. This program was written using Python! enjoy!