RAWx18
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class Developer:
def __init__(self):
self.name = "Ryan Madhuwala"
self.alias = "RAW"
self.upskilling = ["AI", "NLP", "ML", "DL"]
self.qualities = ["Leadership", "Friendly", "Quick Learner", "Tech Enthusiast"]
self.language_spoken = ("en_IN", "hi_IN", "gu_IN")
def say_hi(self):
print("Thanks for dropping by! Hope my code boosts your interest levels! 👋")
me = Developer()
me.say_hi()
I worked on several projects, including Naive Bayes models, logistic regression models, vector space models, word translation, part of speech tagging, word embedding models, RNN, and LSTM models et…
Jupyter Notebook 1
Developed a system that corrects spelling errors in text, enhancing typing efficiency and accuracy. [Project is ready will be upload soon]
Jupyter Notebook 1
Created a system that predicts and suggests the next word or phrase, improving text entry speed. {Project Ready will be uploaded soon}
Jupyter Notebook 1
Built a model to identify and classify entities like names, dates, and locations within a text. {Project Ready will be uploaded soon}
Jupyter Notebook 1
