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AFRICAN FIRST| Entrepreneur|Marketing fellow|Solar Power Enthusiast|Electrical Installations,Maintenance,Faults Attendance| BYO.

[Ntox @Ntokozo13]

@zibusisoe enforcement ebantwini abacabanga nzima becomes a full time job...imagine if enforcement has to be visible everywhere people drive kulokuthi people manage themselves emgwaqweni.

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@zibusisoe Abantu bamakhombi they literally block themselves from moving and get stuck for a very long time...tell me akufuneki 5 Oz lapho lol

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@zibusisoe Kodwa bhudas with all the yellow lane driving and nonsense etown you can tell akula 5Os ezisebenzayo

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@zimlive Biselani inyuku yamakatsayi

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@mammyhope1 @daddyhope Zimbabweans for you.

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@Mamoxn Deep

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@freemanchari I see Fadzi but I'm scared of lawsuits

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@Fancy_Face1019 You must remember he is Shaka lite. Inkosi akumele ibe sweet.

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@Shadaya_Knight Has to earn . Only normal to apologize than lose money. She still believes and stands by what she said!

[Jaydeep @_jaydeepkarale]

📂 Machine Learning Engineer
├─ 📂 Foundations (START HERE)
│ ├─ 📂 Python Basics
│ │ ├─ Variables, loops, functions
│ │ └─ Writing clean Python code
│ │
│ ├─ 📂 Math for ML
│ │ ├─ Linear Algebra (vectors, matrices)
│ │ ├─ Probability
│ │ └─ Statistics
│ │
│ ├─ 📂 Data Handling
│ │ ├─ Pandas
│ │ ├─ NumPy
│ │ └─ Data Cleaning
│ │
│ ├─ 📂 Data Visualization
│ │ ├─ Matplotlib
│ │ └─ Seaborn
│ │
│ └─ 📂 SQL
│ ├─ Joins
│ ├─ Aggregations
│ └─ Window Functions
│
├─ 📂 Core Machine Learning
│ ├─ 📂 ML Fundamentals
│ │ ├─ Bias vs Variance
│ │ ├─ Overfitting / Underfitting
│ │ └─ Train / Test / Validation
│ │
│ ├─ 📂 Algorithms
│ │ ├─ Linear & Logistic Regression
│ │ ├─ Decision Trees
│ │ ├─ Random Forest
│ │ └─ XGBoost
│ │
│ └─ 📂 Model Evaluation
│ ├─ Accuracy, Precision, Recall
│ ├─ ROC-AUC
│ └─ Cross Validation
│
├─ 📂 Deep Learning (LATER)
│ ├─ 📂 Neural Network Basics
│ │ ├─ Perceptron
│ │ ├─ Activation Functions
│ │ └─ Backpropagation
│ │
│ ├─ 📂 PyTorch / TensorFlow
│ │ ├─ Model Building
│ │ └─ Training Loops
│ │
│ └─ 📂 Specializations
│ ├─ NLP
│ └─ Computer Vision
│
├─ 📂 Production & MLOps (LAST)
│ ├��� 📂 Model Deployment
│ │ ├─ FastAPI / Flask
│ │ └─ REST APIs
│ │
│ ├─ 📂 MLOps
│ │ ├─ Experiment Tracking
│ │ ├─ Model Versioning
│ │ └─ Monitoring & Retraining
│ │
│ └─ 📂 Cloud
│ ├─ AWS / GCP / Azure
│ └─ Docker & CI/CD
│
└─ 📂 Career Layer
├─ 📂 Projects
│ ├─ End-to-end ML projects
│ └─ Real datasets
│
├─ 📂 Interview Prep
│ ├─ ML theory
│ ├─ Case studies
│ └─ System design (ML)
│
��─ 📂 Portfolio
├─ GitHub
└─ Blog / Case Studies

[Ntox @Ntokozo13]

@bantuafricanman @freemanchari Bitter envious bunch. Only you will be at home everytime!

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@Cde_Ostallos Isifile vele

[Kekius Maximus @Kekius_Sage]

I’m 54, a physicist, have spent decades using mathematics to study the universe, solve problems, and build things.

If your work touches numbers, now or in the future, and you want to learn math properly, this thread shows a from-the-ground-up math you’ll actually need:

[Vusa Mkhaya @VusaMkhaya]

Cry my beloved HIGHLANDERS FC

#Angilwi

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@Sophie_Mokoena @nelsonchamisa No1 Cno.

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@DavidColtart @CityofBulawayo Mat North 2028!Kunzima eKuvukiland.

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@takuchengeta @advocatemahere @MthuliNcube Shameless

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@matinyarare @mawarirej You were not born by then what war did you fight Rutendo?

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@nickmangwana @ReserveBankZIM Lol

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@HermanMashaba @CityofJoburgZA Your time passed chairman. Watch from the sidelines.