A new poll by crypto asset manager Grayscale finds that 40% of American investors anticipate adding digital assets to their investment portfolios in the future. In a survey titled “2024 Election: The Role of Crypto,” Grayscale found that the collapse of crypto exchange FTX had hindered the growth of the digital assets industry, but the trend […]
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Brian Armstrong and CZ have seen respective net worth losses of 11.8% and 5.1% since the SEC sued Coinbase and Binance.
The net worths of Coinbase CEO Brian Armstrong and Binance CEO Changpeng Zhao (CZ) have suffered heavy blows due to recent lawsuits by the United States securities regulator.
Armstrong’s net worth was slashed by $289 million and Zhao’s by $1.33 billion within a span of 30 hours after the Securities Exchange Commission (SEC) sued Binance on June 5 and then Coinbase on June 6, according to data from the Bloomberg Billionaires Index and Forbes.
Zhao — the richest man in the crypto industry and the 54th richest person overall — had his net worth fall 5.1% to $26 billion this week.
While the Binance CEO’s net worth has rebounded by over 106% this year, he is still down over 73% from his highest net worth of $96.9 billion in January 2022.
Armstrong is ranked as the 1,409th richest person by Forbes and took the bigger hit from the SEC’s latest action with his net worth falling 11.8% to $2.2 billion.
The Coinbase CEO has managed to reap the rewards of a market rebound this year, with a 61% increase in net worth over that time.
Despite the recent fall, Zhao and Armstrong have seen net worth increases well above the 9% year-to-date returns for others on Bloomberg's rich list.
Related: SEC files motion for restraining order against Binance
The SEC sued both Binance and Coinbase alleging the exchanges broke various securities rules, most notably for purportedly offering cryptocurrencies that the regulator considers to be unregistered securities.
Following the suites, a total of 67 cryptocurrencies have now been classed as securities by the SEC.
Binance and Coinbase have both confirmed they will “vigorously” defend the lawsuits laid against them.
Magazine: Crypto regulation: Does SEC Chair Gary Gensler have the final say?
In a recent interview, the renowned investor Paul Tudor Jones expressed his perspective on bitcoin, acknowledging that there might be regulatory challenges ahead. However, Jones emphasized his unwavering commitment to the dominant cryptocurrency, affirming that he maintains “a small diversification” in his investment portfolio and always will. Paul Tudor Jones on Bitcoin: ‘I’m Sticking With […]
Economist Peter Schiff praised the artificial intelligence of the Chatgpt assistant for omitting bitcoin in a suggested “recession-proof” portfolio. The long-time gold proponent commented on a report claiming the chatbot has recommended “massive allocations” in precious metals. Schiff Cites Study Alleging Chatgpt Favors Gold and Cash as Investments in Recession Rigorous crypto opponent Peter Schiff […]
Nine days after publicly listed company Microstrategy purchased 6,455 bitcoins, the firm’s CEO, Michael Saylor, announced the purchase of an additional 1,045 bitcoins. The business intelligence (BI) company now holds a total of 140,000 bitcoins, worth $3.97 billion. Microstrategy Buys Another Batch of Bitcoins Microstrategy has begun acquiring bitcoin (BTC) again, after purchasing 6,455 bitcoins […]
After the recent bank collapses in the U.S., a number of people believe that more failures are coming following the Federal Reserve’s increase of the benchmark interest rate by 25 basis points (bps). American journalist Charles Gasparino insists that Wall Street’s “low-rate” junkies are ignoring the U.S. banking crisis. Quill Intelligence CEO Danielle DiMartino Booth […]
Get started with nine beginner-friendly data science project ideas to enhance your skills and portfolio.
Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills. This allows them to gain confidence and stand out in the competitive job market.
If you’re considering a data science dissertation project or simply want to showcase proficiency in the field by conducting independent research and applying advanced data analysis techniques, the following project ideas may prove useful.
This involves analyzing a data set and creating visualizations to better understand the data. For instance, a project idea may be to examine user evaluations of products on Amazon using natural language processing (NLP) methods to ascertain the general mood toward such things. To accomplish this, a sizable collection of product reviews from Amazon can be gathered by using web scraping methods or an Amazon product API.
One of my favorite datasets on Kaggle:
— David Miller (@thedavescience) October 21, 2022
Amazon Reviews
Ideas for your project:
• Calculate basic product analytics
• Use clustering algorithms to group products
• Endless NLP use cases: sentiment analysis, keyword extraction, summarization
Check it out!
Once the data has been gathered, it can be preprocessed by having stop words, punctuation and other noise removed. The polarity of the review, or whether the sentiment indicated in it is favorable, negative or neutral, can then be determined by applying a sentiment analysis algorithm to the preprocessed language. In order to comprehend the general opinion of the product, the results might be represented using graphs or other data visualization tools.
This project involves building a machine learning model to predict house prices based on various factors such as location, square footage, and the number of bedrooms.
Using a machine learning model that uses housing market data, such as location, the number of bedrooms and bathrooms, square footage and previous sales data, to estimate the sale price of a particular house is one example of a data science project connected to predicting house prices.
The model could be trained on a data set of past house sales and tested on a separate data set to evaluate its accuracy. The ultimate objective would be to offer perceptions and forecasts that might help real estate brokers, buyers and sellers make wise choices regarding price and buying/selling tactics.
A customer segmentation project involves using clustering algorithms to group customers based on their purchasing behavior, demographics and other factors.
The Role of Data Science in Customer Segmentation
— Mastermindzero (@Mg_S_) March 9, 2023
Data science has revolutionized the field of customer segmentation by providing businesses with the tools to analyze vast amounts of data quickly and accurately.
A data science project related to customer segmentation could involve analyzing customer data from a retail company, such as transaction history, demographics and behavioral patterns. The goal would be to identify distinct customer segments using clustering techniques to group customers with similar characteristics together and identify the factors that differentiate each group.
This analysis could provide insights into customer behavior, preferences and needs, which could be used to develop targeted marketing campaigns, product recommendations and personalized customer experiences. By increasing customer satisfaction, loyalty and profitability, the retail company can benefit from the results of this project.
This project involves building a machine learning model to detect fraudulent transactions in a data set. Using machine learning algorithms to examine financial transaction data and spot patterns of fraudulent activity is an example of a data science project related to fraud detection.
Related: How do crypto monitoring and blockchain analysis help avoid cryptocurrency fraud?
The ultimate objective is to create a reliable fraud detection model that can assist financial institutions in preventing fraudulent transactions and safeguarding the accounts of their consumers.
This project involves building a deep learning model to classify images into different categories. An image classification data science project could involve building a deep learning model to classify images into different categories based on their visual features. The model could be trained on a large data set of labeled images and then tested on a separate data set to evaluate its accuracy.
The end goal would be to provide an automated image classification system that can be used in various applications, such as object recognition, medical imaging and self-driving cars.
This project involves analyzing data over time and making predictions about future trends. A time series analysis project could involve analyzing historical price data for a specific cryptocurrency, such as Bitcoin (BTC), using statistical models and machine learning techniques to forecast future price trends.
The objective would be to offer perceptions and forecasts that can assist traders and investors in making wise choices about the purchase, sale and storage of cryptocurrencies.
This project involves building a recommendation system to suggest products or content to users based on their past behavior and preferences.
Recommendation systems are one of the most widely used topics of machine learning.
— Abacus.AI (@abacusai) January 21, 2023
Netflix, YouTube, Amazon: they all use a recommendation system at their core.
Here is a great dataset to learn: https://t.co/j418uwjawL
45,000+ movies. 26M ratings from over 270,000 users. pic.twitter.com/P3HhFKCixQ
A recommendation system project could involve analyzing Netflix user data, such as viewing history, ratings and search queries, to make personalized movie and TV show recommendations. The goal is to provide users with a more personalized and relevant experience on the platform, which could increase engagement and retention.
Web scraping is the automated collection of data from multiple websites using software like BeautifulSoup or Scrapy, while data analysis is the process of analyzing the acquired data using statistical methods and machine learning algorithms. The project could involve scraping data from a website and analyzing it using data science methods to gain insights and make predictions.
Related: 5 high-paying careers in data science
Furthermore, it can entail gathering information about customer behavior, market trends or other pertinent subjects with the intention of offering organizations or individuals insights and practical advice. The ultimate goal is to use the massive volumes of data that are readily accessible online to produce insightful discoveries and guide data-driven decision-making.
A blockchain transaction analysis project involves analyzing blockchain network data, such as Bitcoin or Ethereum, to identify patterns, trends and insights about transactions on the network. This can help improve understanding of blockchain-based systems and potentially inform investment decisions or policy-making.
The key goal is to use the blockchain’s openness and immutability to obtain fresh knowledge about how network users behave and make it possible to build decentralized apps that are more durable and resilient.
After Paxos announced that it would no longer mint the stablecoin BUSD, 4.98 billion BUSD stablecoins have been removed from circulation to date. The Paxos-managed stablecoin has also fallen out of the top ten crypto assets by market capitalization, slipping below dogecoin’s valuation with a market cap of around $11.12 billion, compared to the meme […]
Last month, statistics showed that the Crypto Fear and Greed Index (CFGI) had a score of 25, indicating “extreme fear.” Thirty days later, with a 39% increase in bitcoin prices against the U.S. dollar, the current CFGI score on Jan. 30, 2023, is 61, reflecting “greed.” Crypto Fear Index Jumps to ‘Greed,’ Etoro Market Analyst […]
According to a shareholders’ letter from Digital Currency Group (DCG) viewed by finance and crypto publication Coindesk, the company has suspended dividends until further notice. This news follows the U.S. Securities and Exchange Commission (SEC) charging a subsidiary firm of DCG, Genesis Global Capital, with operating an “unregistered offer and sale of securities to retail […]