I’d like to talk about a model I am working on. To do this, I have to break down and define the meaning of all words within this title.

Facial Expression

A result of muscles within the face contracting and releasing in a particular way to convey subconscious or conscious messages that…

*THIS IS A CONTINUATION TO MY ARTICLE HERE: LINK

Once I found the Top 50 features, I scaled everything down to achieve a higher accuracy with values being more alike. After scaling the data to a standard format, I conducted a test-train split. 75% of the data was used for the training data and the other remaining 25% become the test data.

I then performed a logistic regression and SVC to compare results. A classification report was used on each to verify results. The machine yielded adequate results between 96% and 97% in the slight favor of SVC. This suggests that it can predict the likelihood of a company going sinking to the bottom of the financial sea with more accuracy than logistic regression.

We live in a time where decentralized finance has been on the rise and more businesses have been closing than ever before. My last post analyzed posts from a group dedicated to the downfall of rich hedge fund investors. Now I will be doing a different type of analysis.

With the aid of the NLP library, nltk, I made a visualization displaying the most positive and negative words in post titles of WallStreetBets.

I assigned positive and negative variables to appropriate columns with the corresponding sentiment. After that, I defined and updated the list of stop words being used…

There has been an influx of new traders in the US markets due to a specific online group by the name of WallStreetBets. The group caused a pump in the market with stocks such as GME(GameStop) and AMC resulting in rich hedgefund investor to lose millions of dollars in the…

After analyzing multiple rows of data from WHO over the past 10 years, I will describe what I found.

First, I will start by saying that the data I got contained several csv files of living standard metrics worldwide. Examples include birth rates, suicide rates, cancer rates, abuse rates, etc. I performed EDA (exploratory data analysis) after purging the data of unnecessary columns, null values, and other inconsistencies that would lead to inaccurate results from analysis. The quality of the data is in question for me. The amount of inconsistencies compromised the integrity of the overall data leaving little room for further analysis.

A group called WallStreetBets with a following of over 3 million users drove up the price of several stocks including Gamestop, Blackberry, and Nokia. Mainly Gamestop received a jump in price so massive that hedge fund traders lost millions of dollars. …

With the help of my kit of data science tools, I got some insight on Billboard songs. The most popular song of 2020 was Post Malone’s song, Circles, which maintained being on the Hot 100 for over 52 weeks (It has been on a hot streak since before 2020).

I would like to start by saying that we are getting closer and closer to Machine Learning producing music that has the “human” touch. Recurrent Neural Networks fit the task of music generation. …

In Machine Learning, there is a huge emphasis in Natural Language Processing and Visual Processing but where does audio lie. We are at the beginning of a new wave of innovation in audio and music data processing. Sounds are created with waves of pressure in air. We read this data…

R.E. BLKZEN Wilkinson

An innovative, content creator and young CEO who uses the languages of Music and Data to help the world become a better place.

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