Challenges and Mini Challenges
Uncovering Crypto Scams with Reddit Data
Is it possible to predict cryptocurrency fraud by analyzing Reddit discussions? Competing ML models and graph insights might reveal early signs of suspicious coins.
Data scientist and experienced software engineer with several years of experience in healthcare. Ambitious, analytical, optimistic, helpful, and goal-oriented.
Challenges and Mini Challenges
Is it possible to predict cryptocurrency fraud by analyzing Reddit discussions? Competing ML models and graph insights might reveal early signs of suspicious coins.
Others
Kohlenstoffmonoxid-Werte in Zürich: 3D-Spiralen, Linienplots und Luftschadstoffstreifen
Challenges and Mini Challenges
Die Verbindung von Sensorik und Machine Learning für eine präzise Bewegungsanalyse.
Hackathon (DE)
#DataHackdaysBE
Learning
Diese Situation mag vielen bekannt sein: Man ist im ersten Studiumssemester und fühlt sich von allen Terminen und Abgaben überwältigt. Vieles muss selbstständig erlernt werden, was öfters in Prokrastination enden kann. Was dagegen helfen kann, ist eine gute Planung. Ich musste mir das im ersten Semester meines Studiums selbst eingestehen,
Regression
Creating linear regression in python can be intimidating at first, but with some practise it’s easier than you would’ve imagined. First, we need to import some key libraries: import numpy as np import pandas as pd import matplotlib.pyplot as plt from scipy.stats import norm from sklearn.
Regression
Creating logistic regression in python can be intimidating at first, but with some practise it’s easier than you would’ve imagined. First, we need to import some key libraries: import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn import metrics from sklearn.linear_