The Data Girl
@datanerdcsv
Data Scientist | Machine Learning Engineer under construction 🏗️
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🚀 I just started my Machine Learning track on DataCamp! Excited to sharpen my skills and document the journey. I’ll be sharing what I learn, my projects, and useful takeaways every week. #DataScience #MachineLearning #DataCamp
And, with that Q4, consistency challenge kickstarts. We are incredibly proud and excited for every woman participating in the challenge. Cheers to proving to yourself that you can do hard things. 🚀Drop an emoji in the comment section if you are participating in the challenge.
1. Ethical guidelines for AI design, development, and deployment 2. Insights into Ghana’s AI ecosystem 3. Recommendations for building locally relevant AI solutions
Ghana AI Practitioners’ Guide is now available for download. It’s a practical resource for developers, researchers, policymakers, and business leaders working in Ghana’s AI ecosystem. Developed through broad stakeholder engagement, the guide offers:
Unpopular opinion: __________ is the most overrated tool in tech right now.
What platform are you using to learn right now? Trying to recommend the best for beginners.
Took mine at the Google office in Accra ☺️
Which one helped you learn tech faster: 🎓 YouTube tutorials 📗 Courses (Coursera/Udemy) 💻 Building projects 🎙️ Twitter/X threads
😂
Normal people copying and pasting : CTRL +C, CTRL + V Me : CTRL + CCCCCCCCCCCCC and CTRL + VVVVVVVVVVVVV 😅
Most underrated free tool in tech that people are sleeping on?
If Notion disappeared today, what tool are you switching to?
I just started the machine learning course on @DataCamp 🌸 Can’t wait to share this journey with you’ll
Accuracy as a Metric: I discovered that accuracy measures how often the model predicts correctly, calculated by dividing the number of correct predictions by the total number of predictions.
Day 1 of my 30-day Machine Learning consistency challenge with @DataCamp • Topic: Supervised Learning with scikit-learn • Focus: Classification • Built a KNN classifier to predict customer churn Lesson of the day: Consistency > speed #DataScience #MachineLearning
I learned about evaluating the performance of classification models, focusing on the concept of accuracy, which is the proportion of correct predictions out of all predictions made. Key points covered include:
Day 1 of my 30-day Machine Learning consistency challenge with @DataCamp • Topic: Supervised Learning with scikit-learn • Focus: Classification • Built a KNN classifier to predict customer churn Lesson of the day: Consistency > speed #DataScience #MachineLearning
Day 2&3 I started Regression after completing Classification for day 1 I learned about the mechanics of linear regression. I got introduced to building regression models to predict sales values using a dataset on advertising expenditure.
I learned about evaluating the performance of classification models, focusing on the concept of accuracy, which is the proportion of correct predictions out of all predictions made. Key points covered include:
Ghanaian Youth in tech please quote this tweet doing anything tech related
I had an amazing time 😍 @NotionGhana_
Live from Buro, Labone – Accra 🟨⚫✨ The Beyond MWN Accra Workshop is underway. Stay tuned for highlights from @NotionGhana_ 🚀
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