@55suzzyfrank:

@suzzyfrank

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Region: KE

Sunday 16 August 2026 12:38:38 GMT

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Comments

Mk❤️‍🩹 :

body's wht...

2026-08-16 15:17:50

413

Kariuki :

izi shape mnatoa wapi na mm nakaa 1 😅

2026-08-16 14:32:09

866

Fakunle Kamal :

beautiful girl you are in which country 🥰🥰🥰

2026-08-16 14:24:14

118

Teemie💜 :

omg I wanted to say first but seven comments appeared 😩😩😩😅

2026-08-16 12:43:07

100

Blessed Shyks :

ni nani amekufa kati ya Hawa 😳😳😳

2026-08-17 13:18:41

86

owen :

watano kusupport

2026-08-16 13:11:30

97

BMW COMPETITION :

where are you from Nigeria or south Africa

2026-09-02 17:34:28

7

God First :

r u guys twins ??

2026-08-16 12:50:30

28

Twum Rabbi :

I ma in sweden 🇸🇪 😍 ❤️

2026-08-16 12:45:33

17

beby mama :

kwany ni twin

2026-08-16 23:23:44

8

tana keylie :

are you twins

2026-08-17 06:49:05

9

nachi :

guys when it comes to dressing you are the best 🤞

2026-08-17 09:25:58

9

Aggyy❤️ :

hadi najiuliza me nimetolewa wapi😂😂😂😂😂😂😂

2026-08-21 08:47:48

5

jurien :

these grew in tick tok here with mi data 😂 now guess wat am falling for them 😂

2026-08-17 04:32:11

6

Itxel sun :

elles ont même quels âges ?

2026-08-16 14:24:33

13

Félicité KOUSSADE :

salut

2026-08-16 20:26:02

5

baraka Marco📸🎙️🇹🇿 :

nawapenda wote ♥️♥️♥️♥️♥️

2026-08-16 12:54:07

9

Twum Rabbi :

I will go to Kenya one day

2026-08-16 19:51:31

7

Ika♥️🌹 :

naomba kujua hii ni nywele inaitwaj nimeipenda

2026-08-17 20:21:53

5

lookaway :

Aww how cute! How old are they btw? just curious

2026-08-16 18:10:25

5

🦋🦋woof _wolf :

bythaa mbona usidance na Amalia...img u will make good Dance combo 🥺🥺🫣🫣🫣

2026-08-16 22:01:58

5

chia :

sawa wazuri🥰😏

2026-09-09 19:55:40

2

user7822456520981 :

Hello 🥰🥰🥰

2026-09-09 13:24:50

1

Rooney_beautycare :

mlisema kamiti ni miaka ngapi

2026-08-31 19:07:48

4

ANAS :

hello dear how are you

2026-09-03 17:21:53

2

To see more videos from user @55suzzyfrank, please go to the Tikwm homepage.

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Applied Machine Learning is about using algorithms to solve practical problems, not just learning theory. 🔄 The Complete Machine Learning Workflow 1️⃣ Define the Problem 🎯 Before writing code, ask: 📌 What problem are we solving? 📌 Is it Classification, Regression, or Clustering? 📌 What does success look like? 2️⃣ Collect the Data 📂 Gather data from: 🗄️ Databases 📄 CSV / Excel Files 🌐 APIs 📊 Public Datasets 📡 Sensors 3️⃣ Clean & Prepare the Data 🧹 ✅ Handle missing values ✅ Remove duplicates ✅ Treat outliers ✅ Encode categorical variables ✅ Scale numerical features 4️⃣ Perform EDA 📊 Explore: 📈 Distributions 🔗 Correlations 🚨 Outliers 📉 Trends 🎯 Relationships between features 5️⃣ Split the Data 🔀 Separate data into: 📚 Training Set → Learn patterns 🧪 Validation Set → Tune the model 🎯 Test Set → Evaluate final performance 6️⃣ Choose a Model 🤖 📈 Regression 🏠 House Price Prediction 💰 Sales Forecasting 🎯 Classification 📧 Spam Detection 💳 Fraud Detection 🔍 Clustering 👥 Customer Segmentation 🛒 Market Analysis 7️⃣ Train the Model 🧠 The model learns patterns from the training data and adjusts its parameters to make better predictions. 8️⃣ Evaluate Performance 📏 📊 Classification: ✅ Accuracy ✅ Precision ✅ Recall ✅ F1-Score ✅ ROC-AUC 📈 Regression: ✅ MAE ✅ MSE ✅ RMSE ✅ R² Score 9️⃣ Improve the Model ⚙️ Use: 🔧 Feature Engineering 🎯 Hyperparameter Tuning 🔄 Cross-Validation 📊 Feature Selection ⚖️ Class Balancing 🔟 Deploy the Model 🌐 Turn your model into a real application using: 🚀 Streamlit ⚡ FastAPI 🌐 Flask ☁️ AWS / Azure / Google Cloud 🛠 Essential Python Libraries 🐍 Python 🔢 NumPy 🐼 Pandas 🤖 Scikit-learn 📊 Matplotlib ✨ Plotly 📈 SciPy 🧠 TensorFlow / PyTorch 💼 Beginner-Friendly Projects 🏡 House Price Prediction 💳 Credit Card Fraud Detection 📧 Spam Email Classifier 🛒 Customer Churn Prediction 📈 Sales Forecasting 🎓 Student Performance Prediction 💡 Applied Machine Learning is where theory meets reality. The goal isn’t just to train a model. It’s to understand the problem, prepare quality data, choose the right approach, evaluate honestly, and build something useful. #MachineLearning #AppliedMachineLearning #Python #creatorsearchinsights #datascientist

Applied Machine Learning is about using algorithms to solve practical problems, not just learning theory. 🔄 The Complete Machine Learning Workflow 1️⃣ Define the Problem 🎯 Before writing code, ask: 📌 What problem are we solving? 📌 Is it Classification, Regression, or Clustering? 📌 What does success look like? 2️⃣ Collect the Data 📂 Gather data from: 🗄️ Databases 📄 CSV / Excel Files 🌐 APIs 📊 Public Datasets 📡 Sensors 3️⃣ Clean & Prepare the Data 🧹 ✅ Handle missing values ✅ Remove duplicates ✅ Treat outliers ✅ Encode categorical variables ✅ Scale numerical features 4️⃣ Perform EDA 📊 Explore: 📈 Distributions 🔗 Correlations 🚨 Outliers 📉 Trends 🎯 Relationships between features 5️⃣ Split the Data 🔀 Separate data into: 📚 Training Set → Learn patterns 🧪 Validation Set → Tune the model 🎯 Test Set → Evaluate final performance 6️⃣ Choose a Model 🤖 📈 Regression 🏠 House Price Prediction 💰 Sales Forecasting 🎯 Classification 📧 Spam Detection 💳 Fraud Detection 🔍 Clustering 👥 Customer Segmentation 🛒 Market Analysis 7️⃣ Train the Model 🧠 The model learns patterns from the training data and adjusts its parameters to make better predictions. 8️⃣ Evaluate Performance 📏 📊 Classification: ✅ Accuracy ✅ Precision ✅ Recall ✅ F1-Score ✅ ROC-AUC 📈 Regression: ✅ MAE ✅ MSE ✅ RMSE ✅ R² Score 9️⃣ Improve the Model ⚙️ Use: 🔧 Feature Engineering 🎯 Hyperparameter Tuning 🔄 Cross-Validation 📊 Feature Selection ⚖️ Class Balancing 🔟 Deploy the Model 🌐 Turn your model into a real application using: 🚀 Streamlit ⚡ FastAPI 🌐 Flask ☁️ AWS / Azure / Google Cloud 🛠 Essential Python Libraries 🐍 Python 🔢 NumPy 🐼 Pandas 🤖 Scikit-learn 📊 Matplotlib ✨ Plotly 📈 SciPy 🧠 TensorFlow / PyTorch 💼 Beginner-Friendly Projects 🏡 House Price Prediction 💳 Credit Card Fraud Detection 📧 Spam Email Classifier 🛒 Customer Churn Prediction 📈 Sales Forecasting 🎓 Student Performance Prediction 💡 Applied Machine Learning is where theory meets reality. The goal isn’t just to train a model. It’s to understand the problem, prepare quality data, choose the right approach, evaluate honestly, and build something useful. #MachineLearning #AppliedMachineLearning #Python #creatorsearchinsights #datascientist

Dây chuyền xinh lại mang ý nghĩa may mắn nho 🍀✨ #kenhnhami #phukienxinh #asimi #daychuyenco4la

Dây chuyền xinh lại mang ý nghĩa may mắn nho 🍀✨ #kenhnhami #phukienxinh #asimi #daychuyenco4la

bữa sáng 2000 năm với mì thịt thật VIFON của cụ phến | #phamvinh99 #vulaci #VIFON #MìThịtThậtVIFON#CóChấtThậtBậtĐượcTất

bữa sáng 2000 năm với mì thịt thật VIFON của cụ phến | #phamvinh99 #vulaci #VIFON #MìThịtThậtVIFON#CóChấtThậtBậtĐượcTất

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