class Lam:
def __init__(self):
self.name = 'Ahlam'
self.linkedin = '/ahlamyusuf/'
self.code = {
'Frontend': ['HTML', 'CSS', 'JavaScript', 'React'],
'Backend': ['Python', 'PHP', 'Flask', 'Django', 'R'],
'Database': ['PostgreSQL', 'MySQL', 'SQLite3', 'Mongo DB'],
'DevOps': ['Docker'],
'Tools': ['GIT', 'GitHub', 'GitLab', 'Jupyter notebook'],
'ML Libraries': ['Pandas', 'sklearn', 'seaborn', 'Pytorch', 'Tensorflow', 'Numpy', 'Matplotlib'],
'Learning': ['GitHub Actions']
}
self.concepts = ['NLP', 'Machine Learning', 'Deep Learning', 'Data Visualization', 'Data Analysis']
self.languages = ['English', 'Swahili', 'Arabic']
def __str__(self):
return self.name
if __name__ == '__main__':
me = Lam()
Hi there π, Ahlam Here
im an aspiring Data Scientist who is learning from the ground up.
Starting with as a Data Analyst
- Muscat, Oman
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ML-For-Beginners
ML-For-Beginners PublicForked from microsoft/ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
Jupyter Notebook 1
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