<aside> 👨🏾‍💻 Hey there! I am John Afe.

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</aside>

<aside> 💡 JOHN AFE

Data Science Intern - Kobo360

class Program:
  def __init__(self, role, company):
    self.role = role
    self.company = company

result = Program("Data Science Intern", "Kobo360")

print(result.role)
print(result.company)

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</aside>


My Skills

📫 Socials


💼 Experience

🎓 Education

<aside> 📩 Company: Kobo360

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<aside> 🎓 Lead City University, Ibadan

<aside> 💻 Front-end Web Development Bootcamp, Alusoft technologies

August 2019 - September 2019 (2 months)

<aside> 💻 Online Courses, Udemy, Simplilearn, DataCamp


🛠️ Projects

<aside> 🛠 Predictive Analytics on house pricing in Nigeria

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Built a predictive analysis model, with python, using RandomForest machine learning algorithm.

🔗 - https://github

⚙️ - Python, Numpy, Pandas, Colab, Github

</aside>

Development of a Vegetable Leaf Recognition System using Residual Network

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Built a recognition system with python, using ResNet a deep learning algorithm.

🔗 - https://github

⚙️ - Python, Numpy, Pandas, Colab, streamlit ,Github

My blogs


def greet_people():
    num_people = int(input("How many people are there? "))
    # Loop through each person
    for _ in range(num_people):
        name = input("What is your name? ")
        print(f"Hello, {name}! Have a good time!")
greet_people()