30lm32
30lm32
ml-projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
ml-spam-sms-classification
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification
ml-time-series-analysis-on-sales-data
Time Series Decomposition techniques and random forest algorithm on sales data
ml-hairstyle-classification
Discovering hairstyle trends at a global scale on Instagram. Instagram posts have been clustered together into hairstyles