Evans

interested in web development, ML& AI, physics, biotech, infotech and blockchain

[Jessss🕊️ @jessica37895]

25–30 ans, c’est un âge tellement fou. Il faut monter en compétences professionnellement, planifier un avenir, trouver un partenaire, rester en bonne santé et épargner de l’argent.

[سيدة @Ajoke__xx]

Somewhere in your 20s or 30s you’ll get the opportunity to rebuild your life after a negative loop, heal from what broke you, live in your own space, reconnect with your discipline, and learn to love yourself again. It’s very important that you see that journey through.

[Alice Smith @TheAliceSmith]

Slavery was the default position - the West led the charge against it.

Poverty was the default position - the West figured out how to multiply wealth for everyone.

Ignorance was the default position - the West invented the printing press and mass literacy.

[SMX 🇺🇸 @iam_smx]

Wartime CEO Engaged.

"7 days a week sleeping in the factory, No one should put these many hours into work, this is not good, this is very painful, it hurts my brain and my heart."

-Elon Musk

[Déborah @dvorahfr]

Rule number 1: AI must love humanity.
Rule number 2: AI must love humanity.
Rule number 3: AI must love humanity.
Rule number 4: AI must love humanity.
Rule number 5: AI must love humanity.
Rule number 6: AI must love humanity.
Rule number 7: AI must love humanity.
Rule number 8: AI must love humanity.
Rule number 9: AI must love humanity.
Rule number 10: AI must love humanity.
Rule number n: AI must love humanity.
Rule number n+1: AI must love humanity.

[Tesla Owners Silicon Valley @teslaownersSV]

Every failure builds greatness keep going Elon

[Kenny | Accent Investing @AccentInvesting]

How to level up financially :

•Invest
•Budget
•Pay off debt
•Pay yourself first
•Educate yourself
•Have a financial plan
•Take calculated risks
•Increase your income
•Live below your means
•Take care of your health
•Change your surroundings

What else to add ?

[Kenny | Accent Investing @AccentInvesting]

If you prioritize these actions, you will create wealth over the next 5–10 years:

[Kenny | Accent Investing @AccentInvesting]

Freedom grows in the gap between your income and your desires.

[Dhanian 🗯️ @e_opore]

Backend Developer Roadmap 2025.

Master Backend Development using this ebook; https://t.co/ziDUMKXipZ

[Dhanian 🗯️ @e_opore]

Machine Learning with Python Roadmap: Learn ML in 60 Days

Week 1: Python & Math Foundations

Day 1:

* Python syntax, variables, data types
* Print, input, type casting
* Setting up Jupyter Notebook

Day 2:

* Lists, tuples, sets, dictionaries
* Loops and conditionals

Day 3:

* Functions and lambda expressions
* Modules and packages

Day 4:

* NumPy basics: arrays, indexing, slicing
* Vectorized operations

Day 5:

* Pandas: Series and DataFrames
* Importing and exploring datasets

Day 6:

* Matplotlib and Seaborn: basic plots
* Histograms, scatter plots, box plots

Day 7:

* Mini Project: Analyze a dataset (e.g., Titanic or Iris)

Week 2: Math for Machine Learning

Day 8:

* Linear algebra basics: vectors, matrices
* Dot product and matrix multiplication

Day 9:

* Calculus: functions, derivatives in ML
* Gradient and optimization intuition

Day 10:

* Probability basics
* Mean, median, mode, variance, standard deviation

Day 11:

* Probability distributions
* Bayes’ Theorem basics

Day 12:

* Statistics for ML
* Correlation and covariance

Day 13:

* Normalization and standardization
* z-scores and min-max scaling

Day 14:

* Quiz + Practice: Review math with coding exercises

Week 3: ML Foundations & Scikit-Learn

Day 15:

* What is Machine Learning?
* Types: Supervised, Unsupervised, Reinforcement

Day 16:

* Train-test split
* Scikit-learn overview and pipeline

Day 17:

* Linear Regression with scikit-learn
* Evaluation: MSE, RMSE, R²

Day 18:

* Logistic Regression
* Confusion Matrix, Accuracy, Precision, Recall, F1

Day 19:

* K-Nearest Neighbors (KNN)
* Hyperparameters and K-value tuning

Day 20:

* Naive Bayes classification
* Use case: Spam detection

Day 21:

* Mini Project: Predict house prices with Linear Regression

Week 4: Supervised Learning (Continued)

Day 22:

* Decision Trees
* Gini vs Entropy, Tree depth

Day 23:

* Random Forests
* Feature importance

Day 24:

* Support Vector Machines (SVM)
* Kernel tricks (linear, polynomial, RBF)

Day 25:

* Gradient Boosting & XGBoost
* When to use boosting models

Day 26:

* Cross-validation
* GridSearchCV for hyperparameter tuning

Day 27:

* ROC Curve and AUC
* Precision-Recall Curve

Day 28:

* Mini Project: Classify diabetes patients using Decision Trees & Random Forest

Week 5: Unsupervised Learning

Day 29:

* K-Means Clustering
* Elbow method, Silhouette score

Day 30:

* Hierarchical Clustering
* Dendrograms

Day 31:

* Principal Component Analysis (PCA)
* Dimensionality reduction

Day 32:

* DBSCAN and clustering anomalies
* Real-world use cases

Day 33:

* Association Rule Learning: Apriori
* Market basket analysis

Day 34:

* Feature engineering techniques
* One-hot encoding, Label encoding

Day 35:

* Mini Project: Customer segmentation with K-Means

Week 6: Natural Language Processing (NLP)

Day 36:

* Text preprocessing: tokenization, stopwords
* CountVectorizer & TF-IDF

Day 37:

* Sentiment analysis basics
* Naive Bayes for text classification

Day 38:

* Word embeddings: Word2Vec, GloVe
* Cosine similarity

Day 39:

* NLP pipelines with scikit-learn
* Spam detection classifier

Day 40:

* Topic modeling with LDA
* NMF overview

Day 41:

* Mini Project: Twitter sentiment analysis with Naive Bayes

Week 7: Time Series & Deep Learning Basics**

Day 42:

* Time series concepts
* Rolling mean, seasonal decomposition

Day 43:

* ARIMA basics
* Forecasting with statsmodels

Day 44:

* Introduction to Neural Networks
* Perceptron and multilayer structure

Day 45:

* TensorFlow/Keras setup
* Build a simple neural network

Day 46:

* Activation functions
* Loss functions & backpropagation

Day 47:

* Mini Project: Predict stock prices with LSTM or ARIMA

[Beff (e/acc) @beffjezos]

This may be the most e/acc speech of all time... unfathomably based 🥹🇺🇸🚀

"The future is not going to be won by hand wringing about AI safety. It will be won by building." - @JDVance

[Sam Otigba @SamuelOtigba]

“The truest form of apology is change”

[Elon Musk @elonmusk]

Good for him!

[The Persian Jewess @persianjewess]

JD Vance and Usha Vance are the literal embodiment of the American Dream.

A child born in a trailer park to a drug addicted single mother and a child of immigrants have officially become Vice President and Second Lady of the United States of America.

[Charlie Kirk @charliekirk11]

🚨BREAKING: President Trump will sign an executive order today ending birthright citizenship for children of illegal immigrants.

[Evans @cassini_ca]

AMERICA IS BACK. 🇺🇸

[Eric @amerix]

Pain in the gym is weakness leaving your body.

Embrace the pain.

Daily tiny daily efforts in the gym will amount to remarkable results.

Simply believe in yourself.

WE MUST WIN.

#BetterTogether

[John Doe @StanleyMasinde_]

Kenya techies.

Nigerians hujutuma like their lives depend on tech. Of course it does but in Kenya most people are okay with being average.

During ALC, Nigerians would finish two week assignments in the first few hours. Kenyans would do it last minute as usual.

I’m gonna say something unpopular if you’ve not broken even, you have no business “touching grass” this holiday season. Form those groups that will keep you on toes.

The only advantage you have over them is that they are always suspected of fraud so they don’t easily get freelance projects like you guys.