Day 8 of #365DaysOfML Artificial neural networks are used in image recognition, speech recognition, machine translation, and medical diagnosis. #Datascience #MachineLearning #100DaysOfCode https://t.co/R6hWYdR2HK
#Python can turn you into a medical doctor So I spent the day analysing data of 70000 patients from a hospital using python and jupyter notebook. Cholesterol and Weight are the 2 big diff between those with/without cardio disease #100DaysOfCode #Coding #DataScience https://t.co/xL1lW6QYUL
Day 5 of code. When at first I felt like I was close to getting down JavaScript. I fall back 🥲 like 20 steps. Lol why can’t my medical backround help in learning this stuff a lot faster. #coding #100DaysOfCode #CodeNewbie #dev #DataScience #code #codingisfun
Day 36: Started on project 3/5 in #DataScience with #freeCodeCamp 'Medical Data Visualizer' using #matplotlib this time. Watched some more on #PyTorch video for #ArtificialIntelligence Drew another landscape with #inkscape #100DaysOfCode #MachineLearning #python #svg https://t.co/X3TFuwreDS
Day 191/300 - Experimented with blood cell type classification using monk: https://github.com/Tessellate-Imaging/monk_v1/blob/master/tutorials/Blood%20Cell%20Type%20Classification:%20Understanding%20the%20impact%20of%20depth%20in%20network.ipynb Data credits: https://www.kaggle.com/paultimothymooney/blood-cells #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #medicalimaging #blood #ArtificialIntelligence #DeepLearning #MachineLearning #OpenSource https://t.co/yKoHihkkP1
