https://teapawt.net/t.co/urKOsN94GJ | ML/AI Engineer @Anpu Labs. Tech Writer @Hackernoon. Writer @Pawatech
Still Earth
Joined March 2015
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- Following668
- Followers59
- Likes8.6K
Checked my $CHORD allocation! 41,768 $CHORD scored from live wallet activity. Check your wallet: chordarc.xyz/?ref=CHORD-E340…
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I created a dataset, adapted it on Adaption Labs, using @adaption_ai magnificent tech.
I then trained it on a model using the platform's new AutoScientist feature for the AutoScientist challenge Part 1
Links: (huggingface.co/gospelgit/Afr…) and Kaggle(kaggle.com/models/gospelnbas…)
TY!
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I'm on a 30-months streak with @cowrywise. Start building your #CowrywiseStreak when you save and invest by signing up here: get.cowrywise.com/r/GOSPEpRt
Don't I deserve a shout-out/a little gift for my consistency, @cowrywise ? 🌚
#savings #cowrywise #consecutivesavings #money
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So I did a blog thingy on Hackernoon explaining how Rust can be used to improve AI systems for real-time computer vision
hackernoon.com/rust-at-the-e…
#rust #ai #machinelearning #EdgeAI #python
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Muse retweeted
Workshops are the consulting world's cheat code.
Teach first. Win trust. Sell second.
Most people think sales means pitching.
But the best consulting firms do something different...
They run workshops to educate enterprises on complex topics like:
• AI strategy
• Cloud architecture
• Data security
• Infrastructure modernization
These workshops position you as the expert.
And when the company needs help?
They don’t go looking — they come to you.
Workshops unlock:
✅ Trust
✅ Buy-in from multiple stakeholders
✅ Follow-up contracts (managed services, integrations, implementations)
✅ Software resell opportunities
At Anpu Labs, we design and lead technical workshops for companies looking to:
• Explore AI/ML use cases
• Modernize legacy systems
• Improve data infrastructure
• Automate workflows
Thinking about running a workshop for your team or clients?
Let’s co-create one that drives value + velocity.
DM me or visit anpulabs.com/
After finishing up on every Machine Learning, I took on Neural Networks, then Computer Vision, and last Natural Language Processing.
Now, I'm into Model Deployment and I'll be posting updates on progress as well as tests and coding challenges on ML.
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I've not updated since July. So I finished up the AIML program in October with over 5 projects and a captone inclusive. Now open to intern positions in AI/ML internships.
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ML update:
Finally took on Model Tuning. Things done:
-k fold validation
-oversampling n undersampling
-model tuning and performance
-hyperparameters and tuning
-GridSearch
-randomizedserch
Good week it was
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Been focused on a Hackathon lately I didn't update my progress
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\\This week//
Advanced ML:
- Ensemble Techniques
- Bagging
-Why sample with replacement
- How 63% data gets in bootstrapped sample
- Random Forests
-Hands-on Quiz and practice
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ML Update:
Took on Hierarchical Clustering and other topics I took are:
-Cophenetic Correlation
-Dimensionality Reduction
-PCA(Principal Component Analysis)
-PCA Hands-on
-t-Distributed Stochastic Neighbour Embedding/Hands-on
-Genomic Data Clustering
#MachineLearning #AI
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ML Update:
Took on K-Means Clustering last week. Topics learnt:
- Clustering and Types
- Scaling and Applications
- Silhouette Coefficient of K-Means
- Visual Analysis of Clustering/Dynamic Clustering
Studied a problem statement and solved example
#AI #ML #MachineLeaening
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I tried my hands on this 'Building a Cipher using Python' challenge on FreeCodeCamp.
Turned out pretty well and less daunting than I earlier imagined.
#freecodecamp
freecodecamp.org/learn/scien…
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ML Update
I took on Decision Trees last week.
Things learnt:
- Decision Trees -CART(Categorical and Regression Tress)
-Performance Measures
-Evaluation of Models
-ROC/AUC
-Pruning(PrePruning and PostPruning)
-GridSearchCV
-Impurity measures and Regression Trees.
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