Pinned Repositories
code_snippets
covid_prediction_ML_CSE499
Predicting Covid results from the symptoms using machine learning. CSE499 Project.
fifteenth-july
fifteenth_July_1
fourteenth_april
ml.manash.me
(Deprecated) Visit this one -> https://bn.mlmodel.fit/
processing-video
python
Python-basic
utilities
ShamimAlMahmud's Repositories
ShamimAlMahmud/utilities
ShamimAlMahmud/code_snippets
ShamimAlMahmud/covid_prediction_ML_CSE499
Predicting Covid results from the symptoms using machine learning. CSE499 Project.
ShamimAlMahmud/fifteenth-july
ShamimAlMahmud/fifteenth_July_1
ShamimAlMahmud/fourteenth_april
ShamimAlMahmud/ml.manash.me
(Deprecated) Visit this one -> https://bn.mlmodel.fit/
ShamimAlMahmud/processing-video
ShamimAlMahmud/python
ShamimAlMahmud/Python-basic
ShamimAlMahmud/Titanic-Machine-Learning-from-Disaster
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics
ShamimAlMahmud/twenty-second_1_july
ShamimAlMahmud/twenty-second_july