Typos

Author: relf

README.md

@@ -34,21 +34,19 @@ Where does `linfa` stand right now? [Are we learning yet?](http://www.arewelearn
 | [clustering](algorithms/linfa-clustering/) | Data clustering | Tested / Benchmarked  | Unsupervised learning | Clustering of unlabeled data; contains K-Means, Gaussian-Mixture-Model, DBSCAN and OPTICS | 
 | [ensemble](algorithms/linfa-ensemble/) | Ensemble methods | Tested | Supervised learning | Contains bagging |
 | [elasticnet](algorithms/linfa-elasticnet/) | Elastic Net | Tested | Supervised learning | Linear regression with elastic net constraints |
-| [ftrl](algorithms/linfa-ftrl/) | Follow The Regularized Leader - proximal | Tested  / Benchmarked | Partial fit | Contains L1 and L2 regularization. Possible incremental 
+| [ftrl](algorithms/linfa-ftrl/) | Follow The Regularized Leader - proximal | Tested  / Benchmarked | Partial fit | Contains L1 and L2 regularization. Possible incremental update | 
 | [hierarchical](algorithms/linfa-hierarchical/) | Agglomerative hierarchical clustering | Tested | Unsupervised learning | Cluster and build hierarchy of clusters |
 | [ica](algorithms/linfa-ica/) | Independent component analysis | Tested | Unsupervised learning | Contains FastICA implementation |
-| [kernel](algorithms/linfa-kernel/) | Kernel methods for data transformation  | Tested  | Pre-processing | Maps feature vector into higher-dimensional space| 
+| [kernel](algorithms/linfa-kernel/) | Kernel methods for data transformation  | Tested  | Pre-processing | Maps feature vector into higher-dimensional space | 
 | [linear](algorithms/linfa-linear/) | Linear regression | Tested  | Partial fit | Contains Ordinary Least Squares (OLS), Generalized Linear Models (GLM) | 
-| [logistic](algorithms/linfa-logistic/) | Logistic regression | Tested  | Partial fit | Builds two-class logistic regression models
+| [logistic](algorithms/linfa-logistic/) | Logistic regression | Tested  | Partial fit | Builds two-class logistic regression models |
 | [nn](algorithms/linfa-nn/) | Nearest Neighbours & Distances | Tested / Benchmarked | Pre-processing | Spatial index structures and distance functions |
 | [pls](algorithms/linfa-pls/) | Partial Least Squares | Tested | Supervised learning | Contains PLS estimators for dimensionality reduction and regression |
-| [preprocessing](algorithms/linfa-preprocessing/) |Normalization & Vectorization| Tested / Benchmarked | Pre-processing | Contains data normalization/whitening and count 
+| [preprocessing](algorithms/linfa-preprocessing/) | Normalization & Vectorization| Tested / Benchmarked | Pre-processing | Contains data normalization/whitening and count vectorization/tf-idf |
 | [reduction](algorithms/linfa-reduction/) | Dimensionality reduction | Tested | Pre-processing | Diffusion mapping, Principal Component Analysis (PCA), Random projections |
 | [svm](algorithms/linfa-svm/) | Support Vector Machines | Tested  | Supervised learning | Classification or regression analysis of labeled datasets | 
-| [trees](algorithms/linfa-trees/) | Decision trees | Tested / Benchmarked  | Supervised learning | Linear decision trees
-| [tsne](algorithms/linfa-tsne/) | Dimensionality reduction| Tested | Unsupervised learning | Contains exact solution and Barnes-Hut approximation t-SNE |
-vectorization/tf-idf |
-update |
+| [trees](algorithms/linfa-trees/) | Decision trees | Tested / Benchmarked  | Supervised learning | Linear decision trees |
+| [tsne](algorithms/linfa-tsne/) | Dimensionality reduction | Tested | Unsupervised learning | Contains exact solution and Barnes-Hut approximation t-SNE |
 
 We believe that only a significant community effort can nurture, build, and sustain a machine learning ecosystem in Rust - there is no other way forward.